Integrating Gen AI into CI/CD Pipelines for Improved Regression Testing: Enhancing SRE Practices, Scaling, and System Resiliency
Abstract
A key aspect of the Gen AI is, of course, supporting operation and development and the future would be making it automated. The CI/CD-pipeline integration, which is a constant in third-party software development, and operations, has also undergone rejuvenation by AI. It is capable of both improving the CI/CD life cycle and giving rise to new opportunities beyond it, for example, regression testing. The results of AI-driven systems will be tested with increased efficiency. It not only will ensure that every build is of the desired version and scheduled for deployment, but also that it delivers the expected performance as expected. There would be potential expansion in other key areas of IT like production monitoring, automation, and security. A site wireframe prototype is a visual guide to demonstrate the navigation and functionality of a website before the development process is started. Moreover, a clickable version can even be shared with customers, otherwise, all should perceive a higher-lev generation effectivity with fewer failures and higher success.
Keywords
Generative Artificial Intelligence (Gen AI), Continuous Integration/Continuous Deployment (CI/CD) Pipelines, Site Reliability Engineering (SRE), Machine Language, Artificial Intelligence, Robotics.
Citations
IRE Journals:
Lalit Mishra
"Integrating Gen AI into CI/CD Pipelines for Improved Regression Testing: Enhancing SRE Practices, Scaling, and System Resiliency" Iconic Research And Engineering Journals Volume 8 Issue 2 2024 Page 551-563
IEEE:
Lalit Mishra
"Integrating Gen AI into CI/CD Pipelines for Improved Regression Testing: Enhancing SRE Practices, Scaling, and System Resiliency" Iconic Research And Engineering Journals, 8(2)
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