AI RESEARCH
Self-Admitted Technical Debt Detection Approaches: A Decade Systematic Review
arXiv CS.AI
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ArXi:2312.15020v4 Announce Type: replace-cross Technical debt (TD) refers to the long-term costs associated with suboptimal design or code decisions in software development, often made to meet short-term delivery goals. Self-Admitted Technical Debt (SATD) occurs when developers explicitly acknowledge these trade-offs in the codebase, typically through comments or annotations. SATD detection has become an increasingly important research area, particularly with the rise of learning-based techniques that aim to streamline SATD detection.