{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T05:02:24Z","timestamp":1750309344947,"version":"3.41.0"},"reference-count":6,"publisher":"Association for Computing Machinery (ACM)","issue":"4","license":[{"start":{"date-parts":[[2024,10,3]],"date-time":"2024-10-03T00:00:00Z","timestamp":1727913600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["SIGSOFT Softw. Eng. Notes"],"published-print":{"date-parts":[[2024,10,3]]},"abstract":"<jats:p>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. 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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."},{"key":"e_1_2_1_2_1","first-page":"1","volume-title":"The 4th International Workshop on Software Engineering and AI for Data Quality","author":"Poshyvanyk Denys","year":"2024","unstructured":"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. 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