Hybrid Classical-AI Systems for Software Testing and Bug Fixing
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| Titel: | Hybrid Classical-AI Systems for Software Testing and Bug Fixing |
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| Autoren: | Staron, Miroslaw, 1977, Abrahao, Silvia |
| Quelle: | IEEE Software. 42(6):106-110 |
| Beschreibung: | Testing, debugging, and defect resolution remain difficult tasks in software engineering, often requiring significant time despite modern tools. This column reviews recent research on these topics, presented at the ACM FSE 2025 conference in Trondheim, highlighting new insights into improving bug detection and resolution. |
| Zugangs-URL: | https://research.chalmers.se/publication/548946 |
| Datenbank: | SwePub |
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Nájsť tento článok vo Web of Science | Abstract: | Testing, debugging, and defect resolution remain difficult tasks in software engineering, often requiring significant time despite modern tools. This column reviews recent research on these topics, presented at the ACM FSE 2025 conference in Trondheim, highlighting new insights into improving bug detection and resolution. |
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| ISSN: | 19374194 07407459 |
| DOI: | 10.1109/MS.2025.3597698 |