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ORCID21st PROMISE 2025: Trondheim, Norway
- Proceedings of the 21st International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2025, Trondheim, Norway, 26 June 2025. ACM 2025, ISBN 979-8-4007-1594-5
- Alexander Bakhtin
, Jesse Nyyssölä, Yuqing Wang, Noman Ahmad, Ke Ping, Matteo Esposito, Mika Mäntylä, Davide Taibi:
LO2: Microservice API Anomaly Dataset of Logs and Metrics. 1-10 - Shu-Wei Huang, Xingfang Wu, Heng Li:
LogLSHD: Fast Log Parsing with Locality-Sensitive Hashing and Dynamic Time Warping. 11-20 - Asma Z. Yamani, Malak Baslyman, Moataz Ahmed:
Leveraging LLMs for User Stories in AI Systems: UStAI Dataset. 21-30 - Jonathan Katzy, Yongcheng Huang, Gopal-Raj Panchu, Maksym Ziemlewski, Paris Loizides, Sander Vermeulen, Arie van Deursen, Maliheh Izadi:
A Qualitative Investigation into LLM-Generated Multilingual Code Comments and Automatic Evaluation Metrics. 31-40 - Mingchen Li, Mika Mäntylä, Jesse Nyyssölä, Matti Luukkainen:
Near-Duplicate Build Failure Detection from Continuous Integration Logs. 41-44 - Yara Q. Mahmoud, Akramul Azim, Ramiro Liscano, Kevin Smith, Yee-Kang Chang, Qasim Tauseef, Gkerta Seferi:
Leveraging LLM Enhanced Commit Messages to Improve Machine Learning Based Test Case Prioritization. 45-54 - Ahmad Al Zuraiqi, Des Greer:
Designing and Optimizing Alignment Datasets for IoT Security: A Synergistic Approach with Static Analysis Insights. 55-64 - Fadul Sikder, Yu Lei, Yuede Ji:
Efficient Adaptation of Large Language Models for Smart Contract Vulnerability Detection. 65-74 - Milad Abdullah, David Georg Reichelt, Vojtech Horký, Lubomír Bulej, Tomás Bures, Petr Tuma:
A Combined Approach to Performance Regression Testing Resource Usage Reduction. 75-84 - Farnaz Soltaniani, Mohammad Ghafari, Mohammed Sayagh:
Security Bug Report Prediction Within and Across Projects: A Comparative Study of BERT and Random Forest. 85-94 - Henri Aïdasso, Francis Bordeleau, Ali Tizghadam:
Towards Build Optimization Using Digital Twins. 95-98
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