SEAIMay 14, 2023

AI for Agile development: a Meta-Analysis

arXiv:2305.08093v1
Originality Synthesis-oriented
AI Analysis

This addresses the problem of improving continuous integration and delivery in software development for practitioners, but it is incremental as it synthesizes existing research without presenting new empirical results.

This study conducted a systematic literature review and meta-analysis to explore the integration of AI with Agile software development, identifying critical challenges like the need for specialised socio-technical expertise, but found that further research is needed to understand its full impact.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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