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SEA4DQ 2024 Workshop Summary

Published: 07 October 2024 Publication History

Abstract

Welcome to the sixth edition of the workshop on Machine Learning Techniques for Software Quality Evaluation (SEA4DQ 2024), held in Brazil, July 16th, 2024, co-located with ESEC / FSE 2024 [1]. Three papers from all over the world were submitted, and all of them were accepted based on the overall positive reviews. The program also featured two keynotes by Denys Poshyvanyk on Towards an Interpretable Science of Deep Learning for Software Engineering: A Causal Inference View and Qinghua Lu on Responsible AI Engineering from A Data Perspective.

References

[1]
Tim Menzies, Bowen Xu, Hong Jin Kang, Jie M. Zhang, Jiri Gesi, Sagar Sen, Beatriz Cassoli, Nicolas Jourdan, Jieke Shi, Phu Nguyen, and Valentina Golendukhina, editors. The 4th International Workshop on Software Engineering and AI for Data Quality, Brazil, July 16, 2024. ACM, 2024.
[2]
Denys Poshyvanyk. Towards an interpretable science of deep learning for software engineering: A causal inference view (keynote). In Tim Menzies, Bowen Xu, Hong Jin Kang, Jie M. Zhang, Jiri Gesi, Sagar Sen, Beatriz Cassoli, Nicolas Jourdan, Jieke Shi, Phu Nguyen, and Valentina Golendukhina, editors, The 4th International Workshop on Software Engineering and AI for Data Quality, Brazil, July 16, 2024, pages 1--4. ACM, 2024.
[3]
Qinghua Lu. Responsible ai engineering from a data perspective (keynote). In Tim Menzies, Bowen Xu, Hong Jin Kang, Jie M. Zhang, Jiri Gesi, Sagar Sen, Beatriz Cassoli, Nicolas Jourdan, Jieke Shi, Phu Nguyen, and Valentina Golendukhina, editors, The 4th International Workshop on Software Engineering and AI for Data Quality, Brazil, July 16, 2024, pages 1--4. ACM, 2024.
[4]
Pemsith Mendis, Wilson Reeves, Muhammad Ali Babar, Yue Zhang, and Akond Rahman. Evaluating the quality of open source ansible playbooks: An executability perspective. In Tim Menzies, Bowen Xu, Hong Jin Kang, Jie M. Zhang, Jiri Gesi, Sagar Sen, Beatriz Cassoli, Nicolas Jourdan, Jieke Shi, Phu Nguyen, and Valentina Golendukhina, editors, The 4th International Workshop on Software Engineering and AI for Data Quality, Brazil, July 16, 2024, pages 11--16. ACM, 2024.
[5]
Liming Dong, Qinghua Lu, and Liming Zhu. A pilot study in surveying data challenges of automatic software engineering tasks. In Tim Menzies, Bowen Xu, Hong Jin Kang, Jie M. Zhang, Jiri Gesi, Sagar Sen, Beatriz Cassoli, Nicolas Jourdan, Jieke Shi, Phu Nguyen, and Valentina Golendukhina, editors, The 4th International Workshop on Software Engineering and AI for Data Quality, Brazil, July 16, 2024, pages 5--10. ACM, 2024.
[6]
Yi Liu, Gelei Deng, Zhengzi Xu, Yuekang Li, Yaowen Zheng, Ying Zhang, Lida Zhao, Tianwei Zhang, and Kailong Wang. A hitchhiker's guide to jailbreaking chatgpt via prompt engineering. In Tim Menzies, Bowen Xu, Hong Jin Kang, Jie M. Zhang, Jiri Gesi, Sagar Sen, Beatriz Cassoli, Nicolas Jourdan, Jieke Shi, Phu Nguyen, and Valentina Golendukhina, editors, The 4th International Workshop on Software Engineering and AI for Data Quality, Brazil, July 16, 2024, pages 11--16. ACM, 2024.

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Published In

cover image ACM SIGSOFT Software Engineering Notes
ACM SIGSOFT Software Engineering Notes  Volume 49, Issue 4
October 2024
34 pages
DOI:10.1145/3696117
Issue’s Table of Contents
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.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 October 2024
Published in SIGSOFT Volume 49, Issue 4

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