"23 shades of self-admitted technical debt: an empirical study on machine ..."

David O'Brien et al. (2022)

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DOI: 10.1145/3540250.3549088

access: closed

type: Conference or Workshop Paper

metadata version: 2025-03-03

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  - conf/sigsoft/OBrienBIASR22
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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. ESEC/SIGSOFT FSE 2022: 734-746

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