LLMs for Intelligent Software Testing: A Comparative Study
Author:
Affiliation:
1. LTI Laboratory, National School of Applied Sciences, Chouaib Doukkali University, Morocco
2. IPSS Team, Faculty of Sciences, Mohammed V University, Morocco and , National Center for Scientific and Technical Research, Morocco
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3659677.3659749
Reference25 articles.
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2. Lenz Belzner Thomas Gabor and Martin Wirsing. 2024. Large Language Model Assisted Software Engineering: Prospects Challenges and a Case Study. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 14380 LNCS (2024) 355 – 374. https://doi.org/10.1007/978-3-031-46002-9_23
3. Antonia Bertolino. 2007. Software Testing Research: Achievements Challenges Dreams. In Future of Software Engineering (FOSE ’07). 85–103. https://doi.org/10.1109/FOSE.2007.25
4. A Decade of Intelligent Software Testing Research: A Bibliometric Analysis
5. Exploring the Application of Classical and Intelligent Software Testing in Medicine: A Literature Review
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