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ORCID18th PROMISE 2022: Singapore
- Shane McIntosh, Weiyi Shang, Gema Rodríguez-Pérez:
Proceedings of the 18th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2022, Singapore, Singapore, 17 November 2022. ACM 2022, ISBN 978-1-4503-9860-2 - Bram Adams:
Release engineering in the AI world: how can analytics help? (keynote). 1 - Fahad Al Debeyan
, Tracy Hall, David Bowes:
Improving the performance of code vulnerability prediction using abstract syntax tree information. 2-11 - Dhasarathy Parthasarathy, Cecilia Ekelin, Anjali Karri, Jiapeng Sun, Panagiotis Moraitis:
Measuring design compliance using neural language models: an automotive case study. 12-21 - Peter Bludau, Alexander Pretschner:
Feature sets in just-in-time defect prediction: an empirical evaluation. 22-31 - Tugce Coskun, Rusen Halepmollasi, Khadija Hanifi, Ramin Fadaei Fouladi, Pinar Çomak De Cnudde, Ayse Tosun:
Profiling developers to predict vulnerable code changes. 32-41 - Khaled Walid Al-Sabbagh, Miroslaw Staron, Regina Hebig:
Predicting build outcomes in continuous integration using textual analysis of source code commits. 42-51 - Hammad Ahmad, Colton Holoday, Ian Bertram, Kevin Angstadt, Zohreh Sharafi, Westley Weimer:
LOGI: an empirical model of heat-induced disk drive data loss and its implications for data recovery. 52-61 - Burak Yetistiren, Isik Ozsoy, Eray Tuzun:
Assessing the quality of GitHub copilot's code generation. 62-71 - Jediael Mendoza, Jason Mycroft, Lyam Milbury, Nafiseh Kahani, Jason Jaskolka:
On the effectiveness of data balancing techniques in the context of ML-based test case prioritization. 72-81 - Mazen Mohamad, Jan-Philipp Steghöfer, Alexander Åström, Riccardo Scandariato:
Identifying security-related requirements in regulatory documents based on cross-project classification. 82-91 - Prantik Parashar Sarmah, Sridhar Chimalakonda:
API + code = better code summary? insights from an exploratory study. 92-101
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