Author(s): Roopa B Math

Abstract: The complexity of assuring software quality has grown due to the quick development of software systems. Large-scale distributed systems, continuous integration, and agile development make it difficult for traditional quality assurance (QA) techniques to stay up. Through automation, predictive analytics, and intelligent decision-making, artificial intelligence (AI) has become a game-changing technology that can improve software quality. The significance of AI in enhancing software quality is examined in this study, along with its applications throughout the software development lifecycle, advantages and disadvantages, and potential future paths for AI-driven quality engineering.

DOI: https://www.doi.org/10.33545/26633582.2026.v8.i2a.272

Pages: 16-23 | Views: 149 | Downloads: 34

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