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ORCIDMaLTeSQuE@ESEC/SIGSOFT FSE 2022: Singapore
- Maxime Cordy, Xiaofei Xie, Bowen Xu, Stamatia Bibi:
Proceedings of the 6th International Workshop on Machine Learning Techniques for Software Quality Evaluation, MaLTeSQuE 2022, Singapore, Singapore, 18 November 2022. ACM 2022, ISBN 978-1-4503-9456-7 - Yuriy Brun:
The promise and perils of using machine learning when engineering software (keynote paper). 1-4 - Srinivasan Sengamedu, Hangqi Zhao:
Neural language models for code quality identification. 5-10 - Niranjan Hasabnis:
Are machine programming systems using right source-code measures to select code repositories? 11-16 - Matthew Yit Hang Yeow, Chun Yong Chong, Mei Kuan Lim:
On the application of machine learning models to assess and predict software reusability. 17-22 - Nikolaos Nikolaidis, Dimitrios Zisis, Apostolos Ampatzoglou, Nikolaos Mittas, Alexander Chatzigeorgiou:
Using machine learning to guide the application of software refactorings: a preliminary exploration. 23-28 - Chao Liu
, Qiaoluan Xie, Yong Li, Yang Xu, Hyun-Deok Choi:
DeepCrash: deep metric learning for crash bucketing based on stack trace. 29-34
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