Lead Photo by Max Duzij on Unsplash There are below that every engineering team should follow to . And if you want to level up in managing your software health and development efficiency, check out the bonus section, and meet the software intelligence. 6 practical steps take control of their software quality All product teams want to to the end-users in order to meet customer needs and enhance customer satisfaction. Therefore, the more reliable, more secure, more stable and high-performance software and systems. deliver high quality products engineering teams try to build 1. Track And Visualize Coding Activities process is a . If you want to see inside the box, you should try to the of your team, such as . Visualizing these activities provides into your development processes, helps you to and . The Software development black-box focus on development activities code commits, pushes, pull/merge requests, and code review cycles actionable insights identify bottlenecks, reduce lead time, increase development efficiency Check out and tools such as Git analytics pull request analytics QA Dashboard , Pluralsight Flow, and GitHub Insight. 2. Analyze Source Code Quality You can consider code quality as the cornerstone of software quality. Check out the below to enable of code quality. action plan continuous inspection Enable by using IDE extensions. on-the-fly code analysis Analyze your code pipeline. as a part of the CI/CD Set and break the builds. quality gates and make them . Track all issues visible to talk about clean code principles, coding standards, etc. Encourage developers Plan code quality tasks for . each sprint Check out the code analysis tools such as and try to integrate them into your CI/CD pipeline. SonarQube, CAST, Fortify, etc. 3. Care About Code Vulnerabilities You probably have some in your codebase, but you don’t care about them until they have discovered by attackers. Employ a Static Application Security Testing (SAST) tool in order to analyze your code, and . security-related issues detect issues, own them to solve Check out the SAST tools like and try to integrate them on your CI/CD pipelines. SonarQube, Checkmarx, WhiteSource and Fortify, 4. Test What You Code It’s not possible to know that if your software is working properly without testing it. Consider increasing your by enabling various test types such as test coverage unit testing, integration testing, API testing, UI testing, and functional testing. Check out the testing practices, frameworks, and tools to test what you code. Furthermore, consider using test management tools such as to monitor test execution results. Testinium , Zephyr, TestRail, etc. 5. Monitor Application Performance Application performance monitoring tools help you understand which problems your are ( ) and which problems you have in your or ( ). end users facing customer satisfaction metrics, APDEX score, etc. application system response time, error rate, infrastructure metrics, etc. Check out the APM tools such as New Relic, Dynatrace,  and AppDynamics. 6. Make Your Issues Visible A software development process always produces the . You should capture, assign, and track the issues, and also you should make them . Keep your issues under control, don’t let them hide from you. issues in all stages of application life cycle visible Manage your issues on the tools such as Jira, Azure DevOps, GitHub, and GitLab. BONUS: Meet Software Intelligence After these practical steps, we need to talk about a new concept to overcome some difficulties. DevOps toolchain of an organization includes many tools in order to and all the engineering processes. manage, maintain operate Therefore, should log in to many different tools, find their projects/teams, get relevant metrics of the projects/teams, and in order to see the health and efficiency of their software and teams. engineering managers map them all in their brains At this point, software intelligence is here for you. provides a complete platform to and in order to help you improve your software and team performance. Software intelligence take control of software quality , identify bottlenecks of the entire development process, produce actionable metrics All the tools you use, all the analysis you perform in , help you get a . And get rid of and about your product development process. DevOps deeper level of software intelligence software intelligence helps you misinformation disinformation Photo by Clark Tibbs on Unsplash platforms help organizations by connecting their own SDLC/ALM tools. These connections enable of the entire software development life cycle and analyze coding activities to . Software intelligence (SI) deliver faster , high-quality products real-time monitoring measure development productivity By enabling software intelligence, you get into your and in a single platform. complete visibility software health development efficiency Accessing and on developers, teams and products makes you on product development and engineering processes. real-time data insights more confident in taking actions Let The Power Be With You If you want to take control of software quality and build a , it’s time to meet . high-performing technology organization software intelligence Also published at https://medium.com/devopsturkiye/6-steps-to-take-control-of-your-software-quality-8cec2b10e3ba

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