17Artificial Intelligence Enables Agile Software Development Life Cycle
Sima Das1*, Ajay Kumar Balmiki1 and Nimay Chandra Giri2
1Department of Computer Science and Engineering, Maulana Abul Kalam Azad University of Technology, West Bengal, India
2Department of Electronics and Communication Engineering, Centurion University of Technology and Management, Odisha, India
Abstract
An expert agile empowers the industry to react viably to inside and outside changes. Readiness starts and acknowledges changes to business processes, and simulated intelligence further empowers agility by giving opportune reports on the situation with a business to work with navigation. Artificial intelligence empowers entirely self-controlling encoding tests. The job of machine learning in programming testing is turning out to be increasingly more basic to the quality confirmation process. Additionally, differential testing looks at application renditions, group contrasts, and uses criticism to further develop its classification techniques. In the software development life cycle (SDLC), the highly intricate piece of creating fruitful software to a great extent depends on the underlying stages. This chapter will endeavor to plan and foster a specialist framework to help the product designer in the total programming advancement life cycle with various space experts like Telecom, Banking, Coordination, Medical services, Satellite, and a lot more information procurement. The particular objectives of this examination ...
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