AI for Agile development: a Meta-Analysis

Beatriz Cabrero-Daniel
5/14/2023
cs.SEcs.AI

No confident code implementation found for this paper. 2 possible matches can be shown below.

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.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 2 weaker matches are hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Cite this paper

@article{cabrerodaniel2023agile,
  title  = {AI for Agile development: a Meta-Analysis},
  author = {Beatriz Cabrero-Daniel},
  year   = {2023},
  eprint = {2305.08093},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2305.08093v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2305.08093.svg)](https://codeofpaper.com/paper/2305.08093)

Discussion