MaLTeSQuE 2022 Workshop Summary
Pages 95 - 96
Abstract
Welcome to the sixth edition of the workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE 2022), held in Singapore, November 18th, 2022, co-located with ESEC / FSE 2022 [1]. Six papers from all over the world were submitted, five of them were accepted. The program also featured two keynotes by Yuriy Brun on the promise and perils of using machine learning when engineering software and Mike Papadakis on the best practices in assessment of deep learning testing methods.
References
[1]
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. ACM, 2022.
[2]
Yuriy Brun. The promise and perils of using machine learning when engineering software (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.
[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.
[4]
Srinivasan Sengamedu and Hangqi Zhao. Neural language models for code quality identification. 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 5--10. ACM, 2022.
[5]
Niranjan Hasabnis. Are machine programming systems using right source-code measures to select code repositories? 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 11--16. ACM, 2022.
[6]
Nikolaos Nikolaidis, Dimitrios Zisis, Apostolos Ampatzoglou, Nikolaos Mittas, and Alexander Chatzigeorgiou. Using machine learning to guide the application of software refactorings: a preliminary exploration. 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 23--28. ACM, 2022.
[7]
Chao Liu, Qiaoluan Xie, Yong Li, Yang Xu, and Hyun-Deok Choi. Deepcrash: deep metric learning for crash bucketing based on stack trace. 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 29--34. ACM, 2022.
[8]
Matthew Yit Hang Yeow, Chun Yong Chong, and Mei Kuan Lim. On the application of machine learning models to assess and predict software reusability. 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 17--22. ACM, 2022.
Recommendations
Workshop Summary of AISec'14: 2014 Workshop on Artificial Intelligent and Security
CCS '14: Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications SecurityIt is our great pleasure to welcome you to the 2014 ACM Workshop Artificial Intelligence and Security (AISec 2014) -- the seventh annual workshop addressing technologies that fuse intelligent systems into computer security applications and the ...
MaLTeSQuE 2021 Workshop Summary
The 5th edition of the Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE 2021) workshop was held virtually (originally in Athens, Greece) on August 23rd, 2021, colocated with the 29th ACM Joint Meeting on European Software ...
MALTESQUE 2019 Workshop Summary
Welcome to the third edition of the workshop on Machine Learn- ing Techniques for Software Quality Evaluation (MaLTeSQuE 2019), held in Tallinn, Estonia, August 27th, 2019, co-located with ESEC / FSE 2019. This year MALTESQUE merged with the MASES (...
Comments
Information & Contributors
Information
Published In
January 2023
113 pages
Copyright © 2023 Copyright is held by the owner/author(s).
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 17 January 2023
Published in SIGSOFT Volume 48, Issue 1
Check for updates
Qualifiers
- Article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 23Total Downloads
- Downloads (Last 12 months)5
- Downloads (Last 6 weeks)0
Reflects downloads up to 08 Feb 2025
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in