CppSATD introduces a large C++ comment dataset in which 13,044 comments were confirmed as self-admitted technical debt by human annotators and the remainder were labeled NON-SATD largely by pattern-based inference.
An empirical study on the effectiveness of large language models for satd identification and classification,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.SE 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Descriptor: C++ Self-Admitted Technical Debt Dataset (CppSATD)
CppSATD introduces a large C++ comment dataset in which 13,044 comments were confirmed as self-admitted technical debt by human annotators and the remainder were labeled NON-SATD largely by pattern-based inference.