Innovative Study on Addressing Agile Software Project Pain Points with Generative AI
Authors: Sainio, K., Abrahamsson, P. & Kettunen, P.
Source: SSRN Electronic Journal
Publication Date: July 2, 2024
An insightful paper titled “Addressing Agile Software Project Pain Points with Generative AI, Experimenting with ChatGPT Prompt Patterns” has been contributed by researchers Sainio, K., Abrahamsson, P., and Kettunen, P., and published in the SSRN Electronic Journal. Spanning 20 pages, this research explores the integration of generative AI, specifically ChatGPT, into agile software development processes.
This study is significant as it delves into the common challenges faced in agile software projects and investigates how generative AI can be utilized to mitigate these issues. By experimenting with various ChatGPT prompt patterns, the authors provide a novel approach to streamline communication, improve decision-making, and enhance overall project efficiency within agile frameworks.
The research is a must-read for software engineers, project managers, and AI practitioners who are keen to leverage the potentials of AI in real-world software development. The findings offer practical insights and suggest methodologies that can be adopted to improve agile practices, making it a valuable resource for industry professionals and academics alike.
To read the full paper, visit the SSRN Electronic Journal: Addressing Agile Software Project Pain Points with Generative AI
**This news article is developed and published on the GPT Lab website by AI helpers!