AI for Agile development: a Meta-Analysis
Beatriz Cabrero-Daniel

TL;DR
This paper systematically reviews how Artificial Intelligence can enhance Agile software development, highlighting benefits, challenges, and future research directions for integrating AI into Agile practices.
Contribution
It provides a comprehensive meta-analysis of existing studies on AI in Agile development, identifying key challenges and potential benefits.
Findings
AI can improve continuous integration and delivery processes.
Specialised socio-technical expertise is crucial for AI integration.
Further research is needed on AI's impact on Agile teams.
Abstract
This study explores the benefits and challenges of integrating Artificial Intelligence with Agile software development methodologies, focusing on improving continuous integration and delivery. A systematic literature review and longitudinal meta-analysis of the retrieved studies was conducted to analyse the role of Artificial Intelligence and it's future applications within Agile software development. The review helped identify critical challenges, such as the need for specialised socio-technical expertise. While Artificial Intelligence holds promise for improved software development practices, further research is needed to better understand its impact on processes and practitioners, and to address the indirect challenges associated with its implementation.
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Taxonomy
TopicsSoftware Engineering Techniques and Practices
