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SATDAUG -- A Balanced and Augmented Dataset for Detecting Self-Admitted Technical Debt
March 13, 2024, 4:47 a.m. | Edi Sutoyo, Andrea Capiluppi
cs.CL updates on arXiv.org arxiv.org
Abstract: Self-admitted technical debt (SATD) refers to a form of technical debt in which developers explicitly acknowledge and document the existence of technical shortcuts, workarounds, or temporary solutions within the codebase. Over recent years, researchers have manually labeled datasets derived from various software development artifacts: source code comments, messages from the issue tracker and pull request sections, and commit messages. These datasets are designed for training, evaluation, performance validation, and improvement of machine learning and deep …
abstract arxiv codebase cs.cl cs.se dataset datasets debt developers development document form researchers software software development solutions technical type
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