Integrating generative AI for advancing agile software development and mitigating project management challenges.
By Bahi, A., Gharib, J., & Gahi, Y.
Bahi, A., Gharib, J., & Gahi, Y. (2024). Integrating generative AI for advancing agile software development and mitigating project management challenges. The Science and Information (SAI) Organization, 15(3).
Bahi, Gharib, and Gahi examine the integration of generative AI within Agile software development frameworks in this scholarly article. The authors explore how Large Language Models (LLMs) and other generative technologies can be used to advance coding efficiency, automate testing, and mitigate common project management challenges such as scope creep and communication gaps. Through a systematic analysis, the paper highlights the productivity gains achieved by teams that successfully integrate AI into their sprints. However, the researchers also address significant risks, including the potential for "hallucinations" and the ethical implications of automated code generation. The study provides a rigorous evaluation of the current state of AI in Agile, offering a balanced view of its potential and its pitfalls. This source is a critical academic reference for those studying the intersection of software engineering, artificial intelligence, and project management methodologies.