23 shades of self-admitted technical debt: an empirical study on machine learning software

David O'Brien, Sumon Biswas, Sayem Imtiaz, Rabe Abdalkareem, Emad Shihab, Hridesh Rajan. 23 shades of self-admitted technical debt: an empirical study on machine learning software. In Abhik Roychoudhury, Cristian Cadar, Miryung Kim, editors, Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/FSE 2022, Singapore, Singapore, November 14-18, 2022. pages 734-746, ACM, 2022. [doi]

Abstract

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