1. Proceedings of the 6th International Workshop on Machine Learning Techniques for Software Quality Evaluation
2. The promise and perils of using machine learning when engineering software (keynote paper)
3. Mike Papadakis . Best practices in (empirical) assessment of deep learning testing methods (keynote paper). In Maxime Cordy, Xiaofei Xie, Bowen Xu, and Bibi Stamatia, editors , Proceedings of the 6th International Workshop on Machine Learning Techniques for Software Quality Evaluation, MaLTeSQuE 2022 , Singapore, Singapore , 18 November 2022 , pages 1 -- 4 . ACM, 2022. Mike Papadakis. Best practices in (empirical) assessment of deep learning testing methods (keynote paper). In Maxime Cordy, Xiaofei Xie, Bowen Xu, and Bibi Stamatia, editors, Proceedings of the 6th International Workshop on Machine Learning Techniques for Software Quality Evaluation, MaLTeSQuE 2022, Singapore, Singapore, 18 November 2022, pages 1--4. ACM, 2022.
4. Neural language models for code quality identification
5. Are machine programming systems using right source-code measures to select code repositories?