
The development-world issue of the ability of these teams around the world to deliver quality software at a high rate ofspeed in a rapidly digitised world, with customer needs ever-evolving. The survey has a glance at the practices, tools, and trendsin quality assurance (QA) of Agile software development teams. Explore the main principles of Agile, including the iterativenature of the development process, flexibility, and feedback, and ensure that QA is not treated as a post-development stage. Thepaper has covered a broad range of QA tools within the Agile environment. In addition to conventional automation tools (e.g., weband API testing), the paper also notes that AI-based testing solutions are becoming increasingly popular and can, e.g., detect visualregressions and perform predictive analytics. Furthermore, discuss the fact that QA methods are not only going to become the nextfads in the software market but also expanding to the manufacturing and automotive, as well as aerospace sectors, being informedby such phenomena as Industry 4.0, IoT, and supply chain traceability. A list of recent empirical research publications shows thatAgile, combined with current QA practices, results in a higher defect identification rate, shorter deployment cycles, and improvedoverall product quality. The survey provides an in-depth understanding of modern QA practices aligned with Agile methodologiesfor developing reliable software and other high-quality products.
Continuous Integration, Test Automation, AI-based Testing, Quality Assurance, Agile Software Development, Test-Driven Development
Continuous Integration, Test Automation, AI-based Testing, Quality Assurance, Agile Software Development, Test-Driven Development
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