<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>Software development &#8211; Pure love ministries</title>
	<atom:link href="https://pureloveworship.com/category/software-development-3/feed/" rel="self" type="application/rss+xml" />
	<link>https://pureloveworship.com</link>
	<description></description>
	<lastBuildDate>Sun, 03 Dec 2023 16:06:46 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=6.5.5</generator>

<image>
	<url>https://pureloveworship.com/wp-content/uploads/2021/04/cropped-Attachment_1618618384-1-32x32.jpg</url>
	<title>Software development &#8211; Pure love ministries</title>
	<link>https://pureloveworship.com</link>
	<width>32</width>
	<height>32</height>
</image> 
	<item>
		<title>Domain analytic paradigm: a quarter century exploration of fundamental ideas in information science</title>
		<link>https://pureloveworship.com/domain-analytic-paradigm-aquarter-century/</link>
					<comments>https://pureloveworship.com/domain-analytic-paradigm-aquarter-century/#respond</comments>
		
		<dc:creator><![CDATA[caroona]]></dc:creator>
		<pubDate>Tue, 04 Jul 2023 18:12:19 +0000</pubDate>
				<category><![CDATA[Software development]]></category>
		<guid isPermaLink="false">https://pureloveworship.com/?p=3969</guid>

					<description><![CDATA[Because the field is singular near the sharp edges, a denser mesh is necessary to model that region for accurate results at the expense of increasing the computational domain. This method can be used very effectively in solving electromagnetic scattering problems. In the frequency-domain analysis, an extreme storm is described as a spectrum and the &#8230;<p class="read-more"> <a class="" href="https://pureloveworship.com/domain-analytic-paradigm-aquarter-century/"> <span class="screen-reader-text">Domain analytic paradigm: a quarter century exploration of fundamental ideas in information science</span> Read More &#187;</a></p>]]></description>
										<content:encoded><![CDATA[<p>Because the field is singular near the sharp edges, a denser mesh is necessary to model that region for accurate results at the expense of increasing the computational domain. This method can be used very effectively in solving electromagnetic scattering problems. In the frequency-domain analysis, an extreme storm is described as a spectrum and the equations of motion of the riser are solved at each of many frequencies used to describe the process. The key approximation used in a frequency-domain approach is the technique for linearising any non-linear features in the process. For drilling risers, the most important non-linear feature is the drag force from the waves and current.</p>
<p><img decoding="async" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="https://www.globalcloudteam.com/wp-content/uploads/2021/11/d1b5b360-05bc-4b42-be26-ade60a8a2263.jpg" width="302px" alt="domain analysis"/></p>
<p>The process of organizing and writing this summary can<br />
help you gain a better grasp of the knowledge; the resulting document can help<br />
educate other software engineers who join the team later. Several domain analysis techniques have been identified, proposed and developed due to the diversity of goals, domains, and involved processes. A complete transthoracic echocardiographic study was performed by experienced cardiac sonographers trained in the field of ACHD according to current guidelines [10]. Ultrasound data were acquired with a 2.5&nbsp;MHz phased-array transducer using a commercially available ultrasound system (iE33, Philips Medical Systems, Andover, Massachusetts; GE Vivid E9, GE Health Medical, Horten, Norway).</p>
<h2>More Free SEO Tools from Moz</h2>
<p>The 3-hour duration is generally sufficient for the standard deviation of WF responses because it represents about 1000 cycles with a period of 10&nbsp;seconds. However, LF responses for deepwater systems typically have periods of several minutes. A 3-hour simulation may contain fewer than 50 cycles, which may be insufficient to provide a good statistical confidence. Therefore either simulation of longer duration or repetition of the simulations would be required. Check if the line tensions and vessel offset meet the design criteria.</p>
<div style='border: grey dashed 1px;padding: 10px;'>
<h3>Multi-domain factors are associated with social isolation among &#8230; &#8211; 2 Minute Medicine</h3>
<p>Multi-domain factors are associated with social isolation among &#8230;.</p>
<p>Posted: Tue, 24 Oct 2023 12:44:21 GMT [<a href='https://news.google.com/rss/articles/CBMigAFodHRwczovL3d3dy4ybWludXRlbWVkaWNpbmUuY29tL211bHRpLWRvbWFpbi1mYWN0b3JzLWFyZS1hc3NvY2lhdGVkLXdpdGgtc29jaWFsLWlzb2xhdGlvbi1hbW9uZy1jb21tdW5pdHktZHdlbGxpbmctb2xkZXItYWR1bHRzL9IBAA?oc=5' rel="nofollow">source</a>]</p>
</div>
<p>Hjørland&#8217;s view is supported by Wesolek (2012), who provides Wittgensteinian support for domain analysis. The concept &#8220;epistemic community&#8221; has been discussed in relation to domain analysis by Guimarães et al. (2015), Mustafa El Hadi (2015), as well as in Martínez-Ávila et al. (2017). According to Arango and Prieto-Díaz (1991, 12), in the context of software reuse, the expression &#8220;domain analysis&#8221; was introduced by Neighbors (1981 [sic]). Lee (2009) is a book that challenges mainstream economics in the twentieth century (the neoclassical paradigm), including the influence of the British Research Assessment Exercise and the ranking of journals and departments in Economics. It is relevant to information scientists doing bibliometric research and to domain-analysts in KO, whether they use bibliometrics or other methods.</p>
<h2>Cross-domain analysis</h2>
<p>Consider, for example, the classification of mental diseases (Hjørland 2016b). It is not possible to even imagine a classification that is not connected with an epistemological point of view (atheoretical classification is a paradox). To claim that classifications can or should be made without considering epistemology is naïve. Therefore, the defenders of &#8220;ontological&#8221; or atheoretical classification should suggest a classification of, for example, mental diseases.</p>
<ul>
<li>In a way, the disciplinary affiliation seems to be less important than the theoretical assumptions.</li>
<li>The SMA connectors are then connected to the signal strip of the package.</li>
<li>Like students in a classroom, the quality of the education a generative AI receives directly impacts its output and capabilities.</li>
<li>Normally, biological taxonomy rather than ethnobiology is used in bibliographical classification systems.</li>
<li>Generative AI stands in stark contrast to the earliest forms of AI, which took an algorithmic approach to number-crunching and text generation and had limited applications.</li>
</ul>
<p>The field of economics seems to be a domain that to a large degree has studied itself, and those in KO who want to study this domain should consider such studies. Absent from the article is an analysis of different epistemological positions in the domain. This is important because domain analysis without epistemological analyses tends to be superficial because epistemology provides insight into the assumptions of theories about user behavior.</p>
<h2>How Generative AI’s Superpowers Can Transform Businesses</h2>
<p>Analysis for domains that uses the entire sample is called domain analysis (also called subgroup analysis, subpopulation analysis, or subdomain analysis). The formation of these subpopulations of interest might be unrelated to the sample design. Therefore, the sample sizes for the subpopulations might actually be random variables. The American Psychological Association (APA) carried out a large research project studying scientific communication in psychology for the purpose of optimizing both specific products such as the Psychological Abstracts, and its system overall, including the journal program. Among the many publications from this project (the so-called &#8220;APA studies&#8221;) is Garvey and Griffith (1964). The systems analyzed, including the sketched analysis of UDC, show that there are significant differences among the four systems, both regarding the understanding of art (which is a part of the discourse) and regarding the concepts of the &#8220;bricolage&#8221; work.</p>
<div style='text-align:center'><iframe width='566' height='318' src='https://www.youtube.com/embed/eg_5EAUXs5o' frameborder='0' alt='domain analysis' allowfullscreen></iframe></div>
<p>If information science is about everything, then we are not experts in anything, but amateurs in everything [43]. Therefore, we must have the goal of creating a common theoretical framework for the discipline of information science (or LIS or KO). The facets are, in my reading of the article,  to a large extent derived from the staff of the archive on the basis of their experience and background knowledge applied to the specific problems of the users.</p>
<h2>Related terms:</h2>
<p>The subdiscipline social psychology, has to be classed in a universal system either under psychology (which renders sociologists badly served) or under sociology (which makes psychologists unhappy). In special classifications (as in the thesauri of PsycINFO and Sociological Abstracts), however, both disciplines  may have social psychology and be well served. To standardize in order to improve interoperability is to say X should always be classed under Y, which may be unacceptable to those preferring to have X classified under Z. Standardization therefore requires negotiation of different interests–and, again, domain knowledge.</p>
<p>Analysis of existing <a href="https://www.globalcloudteam.com/glossary/domain-analysis/">domain analysis</a> tools has been performed in previous studies, such as the ones detailed below. The results of domain engineering will be reused in application engineering, which is the process of producing systems with the reusable assets developed during the domain engineering. Reuse can be obtained in all kinds of assets, such as requirements and use cases, architecture, frameworks. On the other hand, reuse focused only on source code libraries is insufficient and the key to successful reuse lies in understanding and defining the application domain for a collection of assets [3]. This can be obtained through a domain analysis (DA), which identifies common and variable characteristics of systems in a specific domain.</p>
<h2>Journals</h2>
<p>To get optimal results, the window size should be perfectly estimated. Selection of window size is the biggest challenge in frequency analysis. The data analysis methods studied in this section are considered as linear systems, but EEG signals are nonlinear. To analyze signals with less computation, they are considered as linear signals over a small window (linear approximation). Various methods have been proposed to extract information from EEGs with efficient performance measures.</p>
<p><img decoding="async" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="data:image/jpeg;base64,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" width="307px" alt="domain analysis"/></p>
<p>It would then be necessary to verify this with domain users and cross-check against any other relevant metadata. Cross-domain analysis enables the identification of redundant data between different data sets by comparing the domains of the values within a column. If there are overlapping domains (even partially overlapping), then these can be investigated further to check for redundancy. Eliminating redundancy is desirable in many cases to ensure that data inconsistencies do not occur and that unnecessary work is not being carried out to update and synchronize multiple data sets. Figure 6.13(b) shows the effect of applying this time window to the digitised record in (a). For most purposes, the shape of the time window is not particularly crucial and a number of other cosine and triangular functions have been used (see Press et al., 1986).</p>
<h2>Lessons from applying the systematic literature review process within the software engineering domain</h2>
<p>This approach to domain analysis is sometimes called model-driven engineering. Altered time and frequency domain indices carry prognostic information. Our results set the stage for larger trials with higher patient numbers and longer duration of follow-up to confirm the predictive value of HRV measurements and deduce preventive approaches. This section considered some methodological issues in addition to the model provided by Section 3 and by the discussion of criticism in Section 5 [52]. The methodological implications of the arguments are that domain analysis should not just search for a narrow methodology to organize a set of items, but must be based on broader knowledge of the domain under investigation.</p>
]]></content:encoded>
					
					<wfw:commentRss>https://pureloveworship.com/domain-analytic-paradigm-aquarter-century/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>What Is Steady Integration? All You Have To Know</title>
		<link>https://pureloveworship.com/what-is-steady-integration-all-you-have-to-know/</link>
					<comments>https://pureloveworship.com/what-is-steady-integration-all-you-have-to-know/#respond</comments>
		
		<dc:creator><![CDATA[caroona]]></dc:creator>
		<pubDate>Thu, 19 Jan 2023 23:30:08 +0000</pubDate>
				<category><![CDATA[Software development]]></category>
		<guid isPermaLink="false">https://pureloveworship.com/?p=3988</guid>

					<description><![CDATA[As illustrated in Figure 4, SAFe’s CALMR approach to DevOps (center) permits continuous integration and several apply domains (inner rings). Each of the four actions (in green) is a collaborative effort that attracts https://www.globalcloudteam.com/ upon DevOps expertise from multiple disciplines to maximize supply speed and quality. Otherwise, all a growth team might accomplish is streamlining &#8230;<p class="read-more"> <a class="" href="https://pureloveworship.com/what-is-steady-integration-all-you-have-to-know/"> <span class="screen-reader-text">What Is Steady Integration? All You Have To Know</span> Read More &#187;</a></p>]]></description>
										<content:encoded><![CDATA[<p>As illustrated in Figure 4, SAFe’s CALMR approach to DevOps (center) permits continuous integration and several apply domains (inner rings). Each of the four actions (in green) is a collaborative effort that attracts <a href="https://www.globalcloudteam.com/">https://www.globalcloudteam.com/</a> upon DevOps expertise from multiple disciplines to maximize supply speed and quality. Otherwise, all a growth team might accomplish is streamlining the pipeline for committing faulty code.</p>
<ul>
<li>Continuous integration—or CI—encompasses a set of principles and coding practices that allow software program growth teams to make minor adjustments to code more frequently and reliably.</li>
<li>With automated testing, highlighting and resolving bugs within the software program is rendered far more environment friendly.</li>
<li>In the long term, this makes the communication speed extra environment friendly and makes sure that everyone within the organization is on the same web page.</li>
<li>Software growth is unavoidably complex, involving a code base consisting of many alternative recordsdata and with a number of individual builders working on any given project.</li>
</ul>
<p>To build a CI pipeline that successfully supports this workflow, a quantity of totally different toolsets are required. In traditional software development approaches — such as the waterfall model — builders could be assigned features to build all through the sprint. At the tip of the sprint, the engineers combine their finished code to create the final codebase to build the applying. The key options of SCM’s are permitting you to create multiple branches and manage numerous streams of growth using a mainline — a single department of the project beneath growth.</p>
<h2>International Development</h2>
<p>In many cases, the construct script not solely compiles binaries but also generates documentation, web site pages, statistics and distribution media (such as Debian DEB, Red Hat RPM or Windows MSI files). Continuous Integration is a software program growth practice that integrates code right into a shared repository incessantly. This is finished by builders several occasions a day every time they replace the codebase. A continuous integration pipeline automates phases of a project&#8217;s pipeline—such as builds, checks and&nbsp;deployments—in a repeatable means, with minimal human intervention. An automated steady integration pipeline is crucial to streamline the event, testing and deployment of your applications by enabling controls, checkpoints and speed. Continuous delivery&nbsp;(CD) picks up the place steady integration ends, automating the supply of purposes to selected infrastructure environments.</p>
<p><img decoding="async" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="https://www.globalcloudteam.com/wp-content/uploads/2022/10/teamcity-small.png" width="308px" alt="What is continuous integration"/></p>
<p>When a commit towards the repository is complete, the server automatically initiates a construct and notifies the “committer” of the outcomes. That’s why to make Continuous Integration as successful as potential, you must rely closely on automated testing, however make room for manual testing, too. As long as exams can be executed from a single command and examine a large a part of the code &#8211; causing the build to fail if the take a look at fails &#8211; you’re good to go. Make sure to check off all 11 Continuous Integration practices and ideas for whole implementation. We’re the world’s leading provider of enterprise open source solutions—including Linux, cloud, container, and Kubernetes.</p>
<h2>How Hotjar Deploys 50% Sooner With Gitlab</h2>
<p>Most importantly, this is ensuring that customers are getting more dependable apps, and far quicker. Both continuous supply and deployment take place after CI, and both one of the two processes are used. The principal distinction between continuous supply and steady deployment is that continuous deployment routinely deploys each validated build to production. By comparison, steady supply only phases the validated construct for manual deployment. Continuous deployment, however, should be considered provided that a staff is assured that their code has zero probability of making an issue.</p>
<p>This significantly improves the chances that the ultimate product will meet project requirements since they have confirmed each new feature or element against these expectations. CI addresses this inefficiency in conventional growth pipelines utilizing automation to extend the frequency of merging and integration from weeks to days and even hours. Now any merge conflicts are much smaller and simpler in scope, dashing the time to resolution for the event team. Additionally, engineers at the moment are working with a codebase that displays their peers&#8217; adjustments, maintaining everybody on the same page.</p>
<p>CI/CD introduces ongoing automation and steady monitoring all through the lifecycle of apps, from integration and testing phases to delivery and deployment. Another issue is the necessity for a model management system that helps atomic commits; i.e., all of a developer&#8217;s adjustments <a href="https://www.globalcloudteam.com/services/ci-cd-monitoring/">continuous integration monitoring</a> could also be seen as a single commit operation. Once the  CI pipeline with automated testing is set up, it turns into crucial to develop and enhance the check protection.</p>
<p>In the absence of CI, engineering teams can turn into cut off from the relaxation of the organization, with communication specifically being hindered. This can add substantial bureaucratic prices, while slowing down code releases and resulting in increased failure rates. In turn, this makes it harder for engineering teams to offer delivery-time estimates for requests as integrating new adjustments is harder. CI permits software builders to section responsibilities and independently code features in parallel.</p>
<h2>Steady Integration Powers Devops</h2>
<p>CI servers like Jenkins are trusted by builders all over the world, whereas there are also varied CI instruments for open-source systems like Google’s Kubernetes, permitting builders to automate delivery pipelines. Continuous integration is an approach to development the place code changes are often merged into a shared repository or department. The mixed codebase is then built right into a take a look at utility the place automated tests are run towards it to root out bugs. As an extension of continuous supply, which automates the discharge of a production-ready build to a code repository, continuous deployment automates releasing an app to production.</p>
<div style='text-align:center'><iframe width='563' height='319' src='https://www.youtube.com/embed/42UP1fxi2SY' frameborder='0' alt='What is continuous integration' allowfullscreen></iframe></div>
<p>In a way, you can’t follow Continuous Integration with out automated testing. And while XP and TDD are in style strategies for producing self-testing code, you don’t have to make use of them to create automated tests. Whatever device you use, it should analyze what needs to be modified as part of the method. Jenkins, for instance, is one of the hottest Continuous Integration and construct automation instruments obtainable to DevOps teams.</p>
<h2>Platform Products</h2>
<p>It comes loaded with API and internet providers testing, steady testing, cell testing, and an entire lot extra.The only caveat to automated testing is, it doesn’t catch every little thing. If you want to catch bugs rapidly and often, then you should include automated checks within the build course of. Every software project involves many different files that must be built-in together to construct a last product. To handle all that data, you want a Source Management Tool (SCM), like Github. Finally, configure your CI device to automatically deploy your code to a staging or manufacturing setting if the exams move. First, select a version control and CI tool that allows developers to push incessantly and test constantly whereas decreasing context switching.</p>
<p><img decoding="async" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="https://www.globalcloudteam.com/wp-content/uploads/2021/03/3-2.png" width="301px" alt="What is continuous integration"/></p>
<p>Automated testing reduces the chances of human error and ensures that only code that meets certain requirements makes it into manufacturing. Because code is examined in smaller batches, there’s much less context-switching for builders when a bug or error happens. Pipelines can even identify where the error happens, making it simpler to not solely identify issues, but fix them. Organizations that undertake continuous integration have a competitive benefit as a outcome of they can deploy faster. Organizations which have implemented CI are making income on the features they deploy, not waiting for handbook code checks.</p>
<h2>Make Your Build Self-testing</h2>
<p>Now you can use automated tests—the key to profitable continuous integration. It is the practice of ensuring that every one features of your software program development process are lined up to permit the day by day creation of a working version of your product. Software improvement is unavoidably complex, involving a code base consisting of many different information and with multiple particular person builders engaged on any given project. Everyone should know the place to seek out the information they need, and that is why there ought to be a single repository. There should be no ambiguity or uncertainty about where explicit recordsdata are saved. With an automatic construct course of, you must find that it’s simpler to take care of your software program and resolve any small defects.</p>
<p>Continuous integration serves as a prerequisite for the testing, deployment and release stages of steady delivery. The entire growth group will know inside minutes of check-in whether you&#8217;ve created dangerous code, as the continual integration service automatically builds and exams your code modifications for any errors. One key benefit of continuous integration, supply, and deployment (CI/CD) is that it permits builders to combine smaller pieces of recent code. As a result, these code modifications are easier and more easy than integrating larger items of supply code, leading to fewer issues further down the road. With steady testing, these smaller batches of code may be tested once they’re added to the code repository, so any issues are uncovered sooner. Continuous integration is a process the place changes are merged into a central repository after which the code is automated and examined.</p>
<p>Because there is not any guide gate at the stage of the pipeline earlier than production, continuous deployment depends heavily on well-designed check automation. CI/CD is a method to regularly deliver apps to prospects by introducing automation into the stages of app development. The primary ideas attributed to CI/CD are steady integration, steady supply, and continuous deployment. CI/CD is an answer to the issues integrating new code may cause for development and operations groups (AKA &#8220;integration hell&#8221;). Continuous Integration (CI) is a DevOps software program development practice that allows the builders to merge their code modifications  within the central repository to run automated builds and checks. Continuous integration requires you to combine work frequently, often many times per day.</p>
<p>CI is a crucial cornerstone of DevOps and aligns with the DevOps mannequin&#8217;s method to constant iteration and enchancment. In addition, CI synergizes with different DevOps finest practices, similar to Shift Left testing and automation. The practice of committing to the mainline is what most individuals think of when discussing Continuous Integration. Additionally, any software that’s foundational to DevOps is likely to be part of a CI/CD process. Making builds readily available to stakeholders and testers can scale back the amount of rework necessary when rebuilding a function that does not meet requirements. Additionally, early testing reduces the probabilities that defects survive till deployment.</p>
<p>Today’s CI tools take the code pushed by every developer and run tests, corresponding to unit exams or integration exams, routinely. Continuous integration is a software growth course of where builders combine the new code they&#8217;ve written more frequently all through the development cycle, including it to the code base a minimum of as soon as a day. Automated testing is completed towards each iteration of the build to identify integration issues earlier, when they are easier to fix , which additionally helps keep away from problems on the final merge for the discharge. Overall, continuous integration helps streamline the construct process, leading to higher-quality software and extra predictable delivery schedules. Following the automation of builds and unit and integration testing in CI, steady delivery automates the release of that validated code to a repository.</p>
]]></content:encoded>
					
					<wfw:commentRss>https://pureloveworship.com/what-is-steady-integration-all-you-have-to-know/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>What is Code Coverage? Code Coverage Definition by GoRetro</title>
		<link>https://pureloveworship.com/what-is-code-coverage-code-coverage-definition-by/</link>
					<comments>https://pureloveworship.com/what-is-code-coverage-code-coverage-definition-by/#respond</comments>
		
		<dc:creator><![CDATA[caroona]]></dc:creator>
		<pubDate>Tue, 13 Dec 2022 18:58:34 +0000</pubDate>
				<category><![CDATA[Software development]]></category>
		<guid isPermaLink="false">https://pureloveworship.com/?p=3661</guid>

					<description><![CDATA[Use this type of coverage to determine whether all decisions, including branches, in your code are tested. A common mistake in code review automation is to make things too rigid before a product has users. If you force developers to write 2-5 unit tests for every new feature in order to maintain 100% code coverage, &#8230;<p class="read-more"> <a class="" href="https://pureloveworship.com/what-is-code-coverage-code-coverage-definition-by/"> <span class="screen-reader-text">What is Code Coverage? Code Coverage Definition by GoRetro</span> Read More &#187;</a></p>]]></description>
										<content:encoded><![CDATA[<p>Use this type of coverage to determine whether all decisions, including branches, in your code are tested. A common mistake in code review automation is to make things too rigid before a product has users. If you force developers to write 2-5 unit tests for every new feature in order to maintain 100% code coverage, they will spend longer writing more code. At the heart of code coverage there’s statement coverage, which checks how many statements in your program have been executed. This is the most widely used form of code coverage  as it is found in most of the relevant code coverage tools.</p>
<p><img decoding="async" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="https://www.globalcloudteam.com/wp-content/uploads/2021/10/10dd1c0e-006d-4140-aa3a-925c6480633c-768x461.jpg" width="303px" alt="definition of code coverage"/></p>
<p>Some development environments such as Microsoft Visual Studio have specific menu tools for doing code coverage analysis. In other cases, developers may use relatively manual methods that involve mapping out the software source code and determining where testing applies. Third-party vendors also provide specific code coverage tools for different programming languages. While these are the most important metrics, there are others to keep in mind when thinking about code coverage for your testing. One of these is decision coverage, which is a combination of function coverage and branch coverage that checks if all entry and exit points, and all decisions and outcomes have been invoked at least once. Another metric is multiple condition coverage, which requires all combinations of conditions inside decisions to be tested, effectively looking for full decision and condition coverage.</p>
<h2>How Code Coverage Works</h2>
<p>There are a couple of ways to determine how well your code is covered by the tests you run. These various metrics all offer a different perspective on your code quality, and it’s useful to know the basics of each of them — that’s why we’ll run them down for you. Sometimes, they might do some refactoring to improve quality and coverage. Sometimes, they might just give some reasons why lines of code were not tested. In most scenarios, the code coverage system test collects data about the currently running program i.e. runtime. It also combines this coverage information with source code information to provide a report on the code coverage of the test suite.</p>
<p>Decision Coverage is a white box testing technique that reports if each boolean expression in the source code is true or false. The purpose of decision coverage testing is to inspect and ensure that each branch of every conceivable decision point <a href="https://www.globalcloudteam.com/">https://www.globalcloudteam.com/</a> is executed at least once, thus covering and validating all available source code. As you see test coverage and code coverage aren’t competing things and are often confused but it isn’t an either-or question, in fact they aren’t even synonymous.</p>
<h2>Code owners for test files</h2>
<p>Code coverage measures the percentage of lines of code that are executed in a test while test coverage measures the percentage of required features that are tested. Branch Coverage is a white box testing method in which every outcome from a code module is tested. The purpose of branch coverage is to ensure that each decision condition from every branch is executed at least once. It helps to measure fractions of independent code segments and to find out sections having no branches. In this example, we were just logging results in the terminal but the same principal applies when you run your test suite.</p>
<div style='text-align:center'><iframe width='562' height='312' src='https://www.youtube.com/embed/3Lpjlzu6sDY' frameborder='0' alt='definition of code coverage' allowfullscreen></iframe></div>
<p>Any questions or queries please feel free to contact me on any of the socials. In a nutshell, because they feel it offers an assurance on the reliability of the code. Although you would think and hope someone would spot that during a review, you would even more so hope that a test has been written to verify that behaviour is not expected or wanted. I mean how many times has a developer said “Ahhh I didn’t even see that, oops”.</p>
<h2>Test Coverage: Metrics, Mechanisms and Tools</h2>
<p>But what if we called our function with a letter instead of a number? It is important that you give time to your team to think about testing from a user perspective and not just by looking at lines of code. Code coverage will not tell you if you&#8217;re missing things in your source.</p>
<p><img decoding="async" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="https://www.globalcloudteam.com/wp-content/uploads/2021/02/image-RWDVv4KZ6hxUMlAF.png" width="301px" alt="definition of code coverage"/></p>
<p>For an effective testing strategy, you need to primarily strive for test coverage which will include code coverage as one of its components. If you aim for a more complete test coverage, naturally, the code coverage will follow suit. It’s a good rule of thumb to write tests that not only cover the code, but verifies them against the expected and wanted behaviour . This with the addition of testing each branch of code should ensure that there is no stone left unturned in regards to the code paths. This then avoids the act of writing tests to cover code just for the sake of covering code and making the metrics look good. It is worth noting, I am not here to dictate how you structure your unit tests i.e. testing functions or features, how you arrange your unit tests is up to you.</p>
<h2>Learn More on Codecademy</h2>
<p>For example, user-centric web apps prioritize UI/UX tests over functional tests. Conversely, financial apps will prioritize usability and security testing over all other tests. The test coverage report provides information about parts of the software where test coverage is implemented. It includes information about the tests executed on an application or website.</p>
<p><img decoding="async" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="https://www.globalcloudteam.com/wp-content/uploads/2022/04/professii-kotorye-mozhno-osvoit-onlayn-samostoyatelno-768x513-1.jpg" width="301px" alt="definition of code coverage"/></p>
<p>These are usually defined as rules or requirements, which a test suite must satisfy. DotCover is one of the few coverage tools that work with a variety of different types of applications. Based on the same profiling engine as dotTrace Performance, dotCover provides support for standalone applications, Siverlight, Web applications and services among others. This allows QA engineers to perform coverage analysis independently on the type of system.</p>
<h2>Code Coverage vs. Test Coverage – Table of Contents</h2>
<p>Ludwig is right, but we don&#8217;t go so deep with the line / branch details, a global metric is enough for us. No, in fact, if critical criteria aren’t captured by the code in the first place, the code cannot be considered perfect, even if the Code Coverage is 100%. MythFactsWith 100 percent Code Coverage, the software is guaranteed to be bug-free. Unlike popular belief, it is impossible to know whether the designed program meets all requirements. The goal of Branch Coverage, as we all know, is to have every branch performed at least once, and this goal has been met. Here, we’ll go over the many methods for measuring Code Coverage that are/can be employed.</p>
<ul>
<li>Some tools like istanbul will output the results straight into your terminal while others can generate a full HTML report that lets you explore which part of the code are lacking coverage.</li>
<li>Testing for code coverage when the code is a decision-making statement (if-else, switch, etc.) is called branch coverage.</li>
<li>Code Coverage quantitatively measures how comprehensive a code base&#8217;s tests are.</li>
<li>For example, coverage by BDD tests might be included and distinguished from TDD coverage.</li>
<li>If your goal is 80% coverage, you might consider setting a failure threshold at 70% as a safety net for your CI culture.</li>
</ul>
<p>Fault injection may be necessary to ensure that all conditions and branches of exception-handling code have adequate coverage during testing. Function call coverage determines whether all function call-sites in your code have been executed during simulation. For instance, if functions are called twenty times in your code, function call coverage checks if all twenty function calls have been executed during simulation. To achieve 100% decision coverage, your test cases must demonstrate a true and false outcome for each decision. To achieve 100% statement coverage, you need at least one test with positive x values, one test with negative x values, and one test with x values of zero.</p>
<h2>Jira Product Discovery</h2>
<p>To truly understand what code coverage is, it is very important to understand what it is not. Both are helpful links for learning <a href="https://www.globalcloudteam.com/glossary/code-coverage/">what is code coverage</a> and exploring code coverage with Xcode. Let’s understand this with an example, how to calculate statement  coverage.</p>
]]></content:encoded>
					
					<wfw:commentRss>https://pureloveworship.com/what-is-code-coverage-code-coverage-definition-by/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>Why &#038; How to Run a Retrospective Meeting</title>
		<link>https://pureloveworship.com/why-how-to-run-a-retrospective-meeting/</link>
					<comments>https://pureloveworship.com/why-how-to-run-a-retrospective-meeting/#respond</comments>
		
		<dc:creator><![CDATA[caroona]]></dc:creator>
		<pubDate>Sat, 15 Oct 2022 01:10:26 +0000</pubDate>
				<category><![CDATA[Software development]]></category>
		<guid isPermaLink="false">https://pureloveworship.com/?p=3537</guid>

					<description><![CDATA[In an agile environment, the focus is primarily on quickly getting releases out the door and worrying about what’s next, so there often isn’t a lot of discussion of what’s already in the rear view mirror. An agile retrospective forces the entire team to pause and reflect on what transpired and discuss what worked and &#8230;<p class="read-more"> <a class="" href="https://pureloveworship.com/why-how-to-run-a-retrospective-meeting/"> <span class="screen-reader-text">Why &#038; How to Run a Retrospective Meeting</span> Read More &#187;</a></p>]]></description>
										<content:encoded><![CDATA[<p>In an agile environment, the focus is primarily on quickly getting releases out the door and worrying about what’s next, so there often isn’t a lot of discussion of what’s already in the rear view mirror. An agile retrospective forces the entire team to pause and reflect on what transpired and discuss what worked and what didn’t during a particular project. Before the retrospective meeting, brainstorm a list of items that need improvement. Then prioritize them based on their impact on the project, and use this list as the agenda for your meeting. This type of meeting takes action on issues identified during previous informative retrospectives.</p>
<p>As soon as the collective team has identified areas within the project that need improvement, iterations can be made to redirect the project in a more positive direction. A retrospective meeting, or retro, is a structured session that gives teams time to reflect on a completed project. It allows a team and individuals to highlight both the successes and failures of  a project, identify areas that need improvement, and reflect on the project as a whole. An Agile retrospective is a meeting held at the end of an iteration in Agile project management.</p>
<h2>Jira Product Discovery</h2>
<p>The meeting aims to build a culture of continuous feedback and improvement, but the actual outcome will depend on how it’s run. A sprint retrospective is a meeting that gives Agile teams the opportunity to focus on how their work could be improved. The goal is to continually improve the development process through reflection. Typically feedback is based around what worked well, and what could be improved. As the first step, you are required to prepare the project retrospective meeting by deciding the date and time, the attendee and the agenda of the meeting.</p>
<ul>
<li>’ It’s a fair question to ask as the timing of meetings can greatly impact their effectiveness and outcome.</li>
<li>Encouraging participation from the whole team is another way to make the meetings interesting and engaging for the whole team.</li>
<li>Right now, we&#8217;re hosting a public retrospective on agile software development.</li>
<li>The most successful retrospectives often include shaking up the atmosphere, either by taking things off-site to a new location or bringing in some food or drinks to boost the conviviality.</li>
</ul>
<p>Using either a digital whiteboard or a physical one, have each team member write down what the team did well, one idea per note. If you’ve run a Retrospective previously, quickly revisit the themes and actions from last time to build a sense of continuity. A Retrospective over Zoom using Trello to set ground rules, add thoughts, and guide the discussion. Let people know they can say anything they want without fear of reprisal or judgment from others in the room. Encourage everyone to participate in the discussion; don’t let one person dominate the conversation .</p>
<h2>Jira Service Management</h2>
<p>This article will explore everything you need to know about project retrospectives and how you can host them both efficiently and effectively. Remote MeetingsTransform remote meetings into productive work sessions through collaborative agendas and time-saving templates. Team MeetingsCollaborate on meeting agendas, take notes in real-time, and end every team meeting with an action plan. Fellow for EnterpriseSupport company leaders with Fellow’s uniform meeting templates, collaborative one-on-one meetings, and feedback tools. You might have notes or a timeline to present, you may present some data, and you may also wish to ask people to give their perspectives on what happened during the project. This question is good to start with, as it recaps the purpose of the project and what you initially set out to accomplish.</p>
<p><img decoding="async" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="data:image/jpeg;base64,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" width="307px" alt="project retrospective meaning"/></p>
<p>The results should be able to help open up ideas for opportunities to create positive changes. Project reviews are typically more in depth discussions that encompass all aspects of the project such as goals, timelines, KPIs, budget, roles and responsibilities and major challenges. It’s important to hold this meeting as soon as possible upon completion of a project. Agile practitioners rely on retrospectives to achieve continuous improvement. To reach your goal, check out this how-to guide on facilitating a productive retrospective and find a starter kit to kick off your process.</p>
<h2>Free retrospective templates</h2>
<p>A great way to set a positive tone in your next project retrospective is to start out by celebrating the wins and pointing out the positives. Project retrospectives can sometimes become tense or uncomfortable because they often entail pointing out flaws or addressing major issues. A great way to start the project retrospective out on a positive note is to offer shout-outs to teammates that have moved the needle or accomplished something great. Great project managers, team leads, and directors, always reflect on completed projects to conclude what went well and what can be improved.</p>
<p><img decoding="async" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="https://globalcloudteam.com/wp-content/uploads/2020/12/what-is-blockchain-development.webp" width="308px" alt="project retrospective meaning"/></p>
<p>The agile life cycle is designed to keep your project progressing through each iteration with defined steps. It’s a chance to celebrate wins and correct mishaps before moving on to the next iteration. You may also hear this practice called a sprint retrospective if you use the scrum framework. Document, save, and share insights with the team to help everyone stay informed and accountable. An online notes tool is best — especially if your team is remote. On scrum teams, the facilitator will typically be the scrum master.</p>
<h2>Give everyone 1-2 minutes to share their reflections</h2>
<p>You can use this sheet to summarize group input, or give each participant a copy to make notes for contributing to the discussion. In order to be a worthwhile investment of everyone’s time, a retrospective takes planning. This process involves picking a format, identifying other activities that you want , and deciding how the group will vote in the meeting. Sprint planning — For <a href="https://www.globalcloudteam.com/glossary/project-retrospective/">https://www.globalcloudteam.com/glossary/project-retrospective/</a> each feature, you’ll spend some time sprint planning to ensure everyone knows what the team’s goal is for the sprint and what each person is responsible for. At the end of each iteration, your team will come together for an agile retrospective to both reflect on the previous one and plan the next. Plan your next agile retrospective with a fully extendable agile development tool.</p>
<div style='text-align:center'><iframe width='568' height='316' src='https://www.youtube.com/embed/JNmOrmXGn0E' frameborder='0' alt='project retrospective meaning' allowfullscreen></iframe></div>
<p>The length of the retrospective meeting itself will depend on the duration of the sprint, whether any unexpected problems arose, and team preferences. Most agile teams devote anywhere from 30 minutes to a few hours for each session. When there are too many discussion items to cover in one retrospective, hold a team vote. With dot voting, everyone votes on their top three discussion items — the results determine priority. The name of this technique comes from in-person meetings and putting dots on paper sticky notes.</p>
<h2>Learn</h2>
<p>Breaks down projects into smaller segments, each with its own deliverable. Each one lasts for a short amount of time — usually one to two weeks — with the goal of creating something useful that can be sent out to users and stakeholders for feedback. As more businesses opt for flexibility in their project management, they turn to agile methods. By the end of the agile retrospective, the team should agree on at least one new idea to implement in the next sprint.</p>
<p>This team used Confluence to summarize the conversation of their Retrospective. Your findings should be documented so they can be referred to later to ensure these things are still being  addressed appropriately by your team members or organization. Hold the meeting as an open forum virtually so no one feels embarrassed or judged. This can be done by asking questions about what went efficiently during the project, what could have been done better, and what could have been avoided altogether.</p>
<h2>What is the ideal outcome of a retrospective meeting?</h2>
<p>The best projects are the ones that get back on track quickly and move forward with their objectives. A good rule of thumb is to keep your retrospectives short, no longer than 30 minutes or so. If a meeting runs longer than an hour, break it into two sessions or divide the plan into multiple meetings. If possible, send out an email <a href="https://www.globalcloudteam.com/">https://www.globalcloudteam.com/</a> with the agenda and a reminder about the time the meeting will start one week before its date. Include links to any documents or presentations referenced during discussions so people can read up on them beforehand if needed . Please explain why you’re having a retrospective session and what you hope to accomplish during it.</p>
]]></content:encoded>
					
					<wfw:commentRss>https://pureloveworship.com/why-how-to-run-a-retrospective-meeting/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>Integrating Operations to Optimize Manufacturing Deloitte US</title>
		<link>https://pureloveworship.com/integrating-operations-to-optimize-manufacturing/</link>
					<comments>https://pureloveworship.com/integrating-operations-to-optimize-manufacturing/#respond</comments>
		
		<dc:creator><![CDATA[caroona]]></dc:creator>
		<pubDate>Fri, 04 Feb 2022 21:33:09 +0000</pubDate>
				<category><![CDATA[Software development]]></category>
		<guid isPermaLink="false">https://pureloveworship.com/?p=3961</guid>

					<description><![CDATA[Maintaining a smooth, transparent, and dynamic supply chain is critical to ensuring the success of a business. However, traditional industrial manufacturing companies face multiple obstacles in obtaining and tracking supply chain data. Automate business processes, streamline supply chains, enhance asset management, and reduce operational costs – all at once. Harness the power of IoT, Big &#8230;<p class="read-more"> <a class="" href="https://pureloveworship.com/integrating-operations-to-optimize-manufacturing/"> <span class="screen-reader-text">Integrating Operations to Optimize Manufacturing Deloitte US</span> Read More &#187;</a></p>]]></description>
										<content:encoded><![CDATA[<p>Maintaining a smooth, transparent, and dynamic supply chain is critical to ensuring the success of a business. However, traditional industrial manufacturing companies face multiple obstacles in obtaining and tracking supply chain data. Automate business processes, streamline supply chains, enhance asset management, and reduce operational costs – all at once. Harness the power of IoT, Big Data, Blockchain, and AI to drive business transformation and scale-up. To monitor, track, document, and control the manufacturing process, we take full advantage of MES/MOM software development that brings more precision and predictability, increases uptime, and reduces operational costs.</p>
<p><img decoding="async" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="https://www.globalcloudteam.com/wp-content/uploads/2021/03/689977fe-2485-4c38-834c-701dd7ab7b18.jpg" width="309px" alt="industrial manufacturing software development"/></p>
<p>Big data – and how it’s leveraged across the value chain – is what the whole bridging of cyber and physical in manufacturing and Industrial IoT is all about. Companies across a wide range of industries and business areas can benefit from application development. Sophisticated functions such as machine learning and computer vision process and combine data to provide statistics, predictions, or optimization results. An increase in automation can lead to a more complex structure and hence more complex software. Corporate applications often have confusing menus, unclear interfaces, and unnecessary functions (or, conversely, a lack of necessary ones). It happens when software updates are untimely or the process takes on a formal character.</p>
<h2>The Architecture for new Industrial Design and Development Software System</h2>
<p>From resource allocation to production routing and delivery, comprehensive automation makes manufacturing faster. Through all of the SDLC stages, we stay in touch with our customers, ensuring trouble-free performance and providing post-launch <a href="https://www.globalcloudteam.com/">https://www.globalcloudteam.com/</a> support and maintenance. With the help of sensors, we configure smart monitoring software that evaluates the performance of critical machinery (electric motors, pumps, etc.) in real-time and signalizes if any malfunction is detected.</p>
<p><img decoding="async" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="data:image/jpeg;base64,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" width="309px" alt="industrial manufacturing software development"/></p>
<p>Access to a plethora of resources—such as software, algorithms and community-based assistance—is made possible via these platforms. By utilizing these platforms, manufacturers can hasten the transition to Industry 4.0 without having to invest much in internal knowledge or pay astronomical license costs. Biz Technology Solutions, Inc (BTS) provides managed it services, project management, and app dev solutions for small to medium businesses organizations throughout the  Southeast. Building custom solutions software for the manufacturing of this type  almost always involves the use of IIoT.</p>
<h2>Cloud migration of manufacturing software</h2>
<p>C++ is an object-oriented language that combines high performance with portability. C++ applications are fast and reliable on embedded systems, IoT for manufacturing, and limited hardware.According to Statista, C and C++ are among the top 10 most commonly used programming languages among developers in 2022. For a software and hardware complex in the mining industry, we had to test the functionality of the Qt cross-platform application that receives data from sensors placed on remote devices. When developing applications for companies in the mining and processing industries, engineers are limited in their choice of programming language.</p>
<ul>
<li>Since its foundation in 2007, Innowise Group has been committed to developing custom software for the manufacturing industry that makes businesses more productive.</li>
<li>At this stage, we usually provide our readers with a description of typical features to include and some tips on how to do it better.</li>
<li>It is made up of savvy entrepreneurs, industry experts, and technology enthusiasts who work together towards a common vision.</li>
<li>The Integra team has implemented data migration from TinyDB databases to MongoDB databases, Google’s Protocol Buffers, and over-the-air (OTA)C/C++ firmware updates.</li>
<li>Integra Sources has developed a soft and hardware complex for a food manufacturer that consists of devices attached to the equipment.</li>
<li>The SBC controls relays, temperature sensors, a voltmeter, an amperemeter, and a GPIO expander and records the data they collect.</li>
</ul>
<p>For example, meat and fish should be delivered in refrigerators at a certain temperature to preserve quality. By setting up modern thermometers in trucks and using connected software, a driver can be alerted if the temperature is beyond the set threshold. Because these AI factories are essentially rivals to Tesla’s Dojo supercomputer, which the Elon Musk-owned automaker started production on over the summer. Dojo will train Tesla’s neural nets, which are used to power, train and improve “full self-driving” (FSD), the automaker’s advanced driver assistance system.</p>
<h2>Digital Twin – A new way of working</h2>
<p>Our dedicated teams create custom solutions based on clients’ requirements that help manufacturers improve the visibility of all processes through one system. We integrate BI and performance management solutions to ensure the client’s business attains strategic objectives through key performance indicators like revenue, ROI, and operational costs. Our dedicated teams forge custom employee tracking apps that allow managers to foster effective employee work, including labor requirements, personal schedules, overtime, sick days, and paid time offs.</p>
<p><img decoding="async" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="data:image/jpeg;base64,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" width="303px" alt="industrial manufacturing software development"/></p>
<p>They’ve decided to address the problem by developing custom manufacturing ERP software in the field of predictive maintenance. To set up the IIoT system at the factory he used a network of camers and sensors. They were installed in tools, inspection equipment, cranes and other machinery to collect data on their condition and performance. On top of that, custom software analyzed different production variables to define how they impact productivity and quality. As a result, they were able to dramatically cut the number of unexpected accidents. The overall maintenance costs also dropped as they’ve switched to keeping equipment in optimal condition rather than fixing broken machinery.</p>
<h2>Equipment Maintenance Application Development</h2>
<p>Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited, a UK private company limited by guarantee (&#8220;DTTL&#8221;), its network of member firms, and their related entities. DTTL and each of its member firms are legally separate and independent entities. DTTL (also referred to as &#8220;Deloitte Global&#8221;) does not provide services to clients. In the United States, Deloitte refers to one or more of the US member firms of DTTL, their related entities that operate using the &#8220;Deloitte&#8221; name in the United States and their respective affiliates.</p>
<p>Software applications for industrial solutions help plan preventive maintenance based on the condition of the equipment, the manufacturer&#8217;s recommendations and the current production situation. If you are seeking expertise in creating industrial solutions, the Integra team is here to provide comprehensive assistance in hardware and software development. Managers should communicate the advantages these innovations bring, including building new skills and empowering workers to be more productive. It’s the manufacturing leader’s job to ensure both the employees and digital tools are synchronized. The complex product design-development process is now evolving while modern manufacturing industry is trying to free itself from tedious paperwork.</p>
<h2>Industrial automation based on cyber-physical systems technologies: Prototype implementations and challenges</h2>
<p>It delivers flexibility and agility to drive growth and produce opportunities throughout your manufacturing business. You can measure, track, and monitor your business from shop floor to top floor and from raw materials to final <a href="https://www.globalcloudteam.com/areas/">Industrial Software Development</a> product. The highest growing industrial software segment from a spending perspective in ABI’s outlook is for MES software. Company staff uses the software to monitor compliance with regulatory requirements and control costs.</p>
<div style='text-align:center'><iframe width='560' height='318' src='https://www.youtube.com/embed/Co1Z2uZ7oxQ' frameborder='0' alt='industrial manufacturing software development' allowfullscreen></iframe></div>
<p>Custom software offers effective client management tools that improve the way companies within the manufacturing industry are able to communicate with their clients. His main research interests include system architecture, aviation engine, as well as industrial design and development. His main research interests include system architecture, enterprise modeling and industrial digital transformation. In these years, SAP proposed its cloud-based IIoT platform SAP Leonardo, named after Leonardo da Vinci to inherit master&#8217;s innovation gene and help enterprises realize “Digital Renaissance” in various fields. Meanwhile, SAP develops a series of real-time R&amp;D tools to support MBSE guided product development in IIoT environment. The most famous case is Mitsubishi Robotics MBSE guided LIVE Engineering (Faller &amp; Feldmüller, 2015).</p>
]]></content:encoded>
					
					<wfw:commentRss>https://pureloveworship.com/integrating-operations-to-optimize-manufacturing/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>Roles and Capabilities Documentation</title>
		<link>https://pureloveworship.com/roles-and-capabilities-documentation/</link>
					<comments>https://pureloveworship.com/roles-and-capabilities-documentation/#respond</comments>
		
		<dc:creator><![CDATA[caroona]]></dc:creator>
		<pubDate>Thu, 13 Jan 2022 22:04:11 +0000</pubDate>
				<category><![CDATA[Software development]]></category>
		<guid isPermaLink="false">https://pureloveworship.com/?p=3971</guid>

					<description><![CDATA[WordPress developers know the importance of staying updated on the latest trends in web development. They update their knowledge of industry trends, WordPress collaboration tools, and techniques. This allows them to leverage new features and deliver solutions to their clients. Ollie Block Theme Now in Public Beta &#8211; WP Tavern Ollie Block Theme Now in &#8230;<p class="read-more"> <a class="" href="https://pureloveworship.com/roles-and-capabilities-documentation/"> <span class="screen-reader-text">Roles and Capabilities Documentation</span> Read More &#187;</a></p>]]></description>
										<content:encoded><![CDATA[<p>WordPress developers know the importance of staying updated on the latest trends in web development. They update their knowledge of industry trends, WordPress collaboration tools, and techniques. This allows them to leverage new features and deliver solutions to their clients.</p>
<div style='border: black dashed 1px;padding: 14px;'>
<h3>Ollie Block Theme Now in Public Beta &#8211; WP Tavern</h3>
<p>Ollie Block Theme Now in Public Beta.</p>
<p>Posted: Wed, 26 Apr 2023 07:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMiOWh0dHBzOi8vd3B0YXZlcm4uY29tL29sbGllLWJsb2NrLXRoZW1lLW5vdy1pbi1wdWJsaWMtYmV0YdIBAA?oc=5' rel="nofollow">source</a>]</p>
</div>
<p>We at Teamcubate have mastered the art of building remote WordPress teams that deliver exceptional results. While the job title &#8216;WordPress Developer&#8217; might sound straightforward, it encompasses a variety of tasks and responsibilities. So, you&#8217;ve realized the importance of having a well-designed and functional website for your business, and you&#8217;ve heard WordPress is the way to go. This website is using a security service to protect itself from online attacks.</p>
<h2>Need help hiring a WordPress Developer?</h2>
<p>Freelancing offers a greater degree of freedom and flexibility than most other lifestyles because you only work with clients that you say yes to. But you do need money to buy equipment tools and you do need an office, according to Bearne. “Government digital services feel like design agencies,” Bearne said. But the different is that you’re typically working in a space that’s making impactful change. Staffing agencies will place you at different companies in temporary or permanent positions. A WordPress developer has many options for where they work and how they work.</p>
<ul>
<li>You must have knowledge and experience of JavaScript to work in WordPress front-end development.</li>
<li>Learn how to get the top talent through Teamcubate and elevate your website today.</li>
<li>WordPress Developers are responsible for both back-end and front-end development, including creating WordPress themes and plugins.</li>
<li>Certifications are not generally requested for a WordPress programmer since the WordPress community does not have a formal standard for certification.</li>
</ul>
<p>WordPress allows site builders to monitor their day-to-day website stats. It features excellent analytical tools to help users understand their traffic. Dmitriy Kaprielov is part of cminds.com WordPress experts and editorial team. CreativeMinds have been creating WordPress products since 2006, and <a href="https://www.globalcloudteam.com/how-to-hire-a-wordpress-developer/">hire wordpress developer</a> cminds.com has become a good resource of WordPress premium plugins and WordPress reviews. Our team can develop and customize WordPress plugins and integrate WordPress with 3rd party services such as Facebook, Google Maps and more. If you’re looking to join the best of the best, get in touch today.</p>
<h2>Elevate Your Business with Enterprise WordPress Development Teamcubate</h2>
<p>While you will be working independently, you also need to be comfortable doing video calls and being social on Slack in order to build relationships, according to Bearne. WordPress developers may opt to use a freelance platform like Arc and Code Mentor to find work. Others may use it backfill their own freelance work, like Bearne does.</p>
<p><img decoding="async" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="https://www.globalcloudteam.com/wp-content/uploads/2021/02/image-q6DaP7ljt0i5pC2e.png" width="301px" alt="What is the role of WordPress developer"/></p>
<p>Through the early 2000s, WordPress pioneered many web formatting features such as in-line images and previews, which contributed to its reputation for ease-of-use. Soon enough, the popularity and functionality of the  site increased. Fast forward to today and WordPress is a go-to for virtually all website building activities. Clearly mention your requirements along with the responsibilities that the prospective candidate will handle after joining your organization. Be crisp and clear with your objectives so that the candidate knows exactly what to expect from this job opportunity.</p>
<h2>How to Hire a WordPress Developer</h2>
<p>We’ll discuss plugin and theme development in more detail later on. These are just a few of the coding tasks you might be asked to perform as a developer. For a broader overview of what WordPress developers do, you can check out the services page of WordPress design agencies. Discover the crucial factors that influence a Java developer&#8217;s salary. Gain insights into industry standards, experience levels, and more. Find the perfect match at a budget-friendly cost with Teamcubate.</p>
<div style='text-align:center'><iframe width='566' height='316' src='https://www.youtube.com/embed/A4_TFHzqAAg' frameborder='0' alt='What is the role of WordPress developer' allowfullscreen></iframe></div>
<p>Look, you can spend countless hours searching for a WordPress developer or you can let us do the hard work for you. We specialize in finding the best talent at business-friendly rates. And it&#8217;s not just about hiring; it&#8217;s about finding a developer who perfectly matches your project requirements and company culture. While many developers can handle a broad range of tasks, some specialize in specific areas like custom development, plugin development, or enterprise solutions. Understand the different types of WordPress development specializations. Like any other software, WordPress websites require regular updates and maintenance.</p>
<h2>The Real Cost of Hiring a WordPress Developer: An Insider&#8217;s Guide</h2>
<p>WordPress is a fantastic modern tool that allows creators of all content to create attractive site pages without any need for software development training. WordPress is an open-source platform and easy to pick up, which makes it perfect for millions of users. He specializes in 3rd-party API integrations, including Mailchimp, Cloudflare, and Shopify.</p>
<p><img decoding="async" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="https://www.globalcloudteam.com/wp-content/uploads/2022/10/image-erp-small.png" width="303px" alt="What is the role of WordPress developer"/></p>
<p>A portfolio showcasing your development work can improve your chances of being hired as a full-time employee at a company or as a freelancer. Once you’ve got the basics of coding down, start reading up on WordPress-specific resources&nbsp;to understand what makes this CMS&nbsp;unique. Below are just a few resources that can help you at different stages in your journey to becoming a WordPress developer. According to  a study by Delicious Brains, the majority of WordPress developers make between $45,000 and $150,000 per year from their development work. Equip yourself with our comprehensive guide on the most critical Java Developer interview questions to make an informed choice.</p>
<h2>WordPress Developer duties and responsibilities</h2>
<p>In short, a WordPress developer’s role encompasses designing and implementing high-performance websites. Their skill set enables them to create websites that meet client expectations. A junior WordPress developer job description includes responsibilities like working on both front-end and back-end development, which includes themes and plug-ins. A senior WordPress developer job description includes troubleshooting website problems for clients, creating new products, etc.</p>
<p><img decoding="async" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="data:image/jpeg;base64,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" width="306px" alt="What is the role of WordPress developer"/></p>
<p>Discover why Custom WordPress Development is essential for your business and how Teamcubate can help you find the right developer to skyrocket your online presence. Unlock the secrets of WordPress development with this ultimate guide. Discover how to get started, best practices, and why you should consider hiring experts through Teamcubate.</p>
<h2>Hire a Dedicated WordPress Developer: The Ultimate Guide to Finding Your Perfect Match</h2>
<p>Our guide shows you the best sites to learn WordPress development. It gives you a rundown of the top free and paid sites for training. With our help, you’ll be ready to start making bank in WordPress development and support. Additionally, WordPress offers pre-programmed shopping and e-commerce tools, allowing people to create professionally-designed online stores with ease. As you increase your membership status, your access to features improves too. In short, it’s entirely reasonable to develop a high-end business website on WordPress alone.</p>
<p><img decoding="async" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="https://www.globalcloudteam.com/wp-content/uploads/2022/02/retail-software-popular-trends-2022-2-300x200.jpg" width="308px" alt="What is the role of WordPress developer"/></p>
]]></content:encoded>
					
					<wfw:commentRss>https://pureloveworship.com/roles-and-capabilities-documentation/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
	</channel>
</rss>
