A SURVEY ON QUALITY ASSURANCE APPLICATION IN AGILE SOFTWARE DEVELOPMENT TOOLS, TECHNIQUES, AND TRENDS
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Abstract
The development-world issue of the ability of these teams around the world to deliver quality software at a high rate of
speed in a rapidly digitised world, with customer needs ever-evolving. The survey has a glance at the practices, tools, and trends
in quality assurance (QA) of Agile software development teams. Explore the main principles of Agile, including the iterative
nature of the development process, flexibility, and feedback, and ensure that QA is not treated as a post-development stage. The
paper has covered a broad range of QA tools within the Agile environment. In addition to conventional automation tools (e.g., web
and API testing), the paper also notes that AI-based testing solutions are becoming increasingly popular and can, e.g., detect visual
regressions and perform predictive analytics. Furthermore, discuss the fact that QA methods are not only going to become the next
fads in the software market but also expanding to the manufacturing and automotive, as well as aerospace sectors, being informed
by such phenomena as Industry 4.0, IoT, and supply chain traceability. A list of recent empirical research publications shows that
Agile, combined with current QA practices, results in a higher defect identification rate, shorter deployment cycles, and improved
overall product quality. The survey provides an in-depth understanding of modern QA practices aligned with Agile methodologies
for developing reliable software and other high-quality products.
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