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Comprehensive review highlights the impact of machine learning on software development efficiency and quality.
Machine learning (ML) has emerged as a transformative technology across various domains, including software development. This paper delves into the significant roles ML plays in enhancing and optimizing the software development lifecycle (SDLC). By integrating ML into different phases of software development—requirements analysis, design, coding, testing, and maintenance—developers can achieve higher efficiency, better quality, and more innovative solutions. This paper provides a comprehensive review of current trends, applications, challenges, and future directions of ML in software development.
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Sateesh et al. (2025) studied this question.
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