Exploring Generative AI in Automated Software Engineering
This issue’s Practitioners' Digest examines the growing impact of generative AI on automated software engineering. It highlights how these AI models are shaping current research, with a particular focus on the 39th IEEE/ACM International Conference on Automated Software Engineering (ASE 2024). As generative AI continues to evolve, this article provides some practical insights into its impact on the field. We welcome your feedback and suggestions. Additionally, if you experiment with or implement any of the practices discussed in this article, please share your experiences with us and the authors of the featured papers.
Authors
- Silvia Abrahão (ORCID: https://orcid.org/0000-0003-3580-2014)
- Miroslaw Staron (ORCID: https://orcid.org/0000-0002-9052-0864)
Institutions
- University of Gothenburg (SE)
Publication Details
- Journal
- IEEE Software
- Published
- 2025-04-07
- DOI
- https://doi.org/10.1109/ms.2025.3533754
- Citations
- 3
- Primary Topic
- AI-based Problem Solving and Planning
- Type
- article
- Field-Weighted Citation Impact
- 7.44