A systematic literature review summarizing the shift in SATD detection from heuristic keyword methods to ML, DL, and Transformer models, along with performance trends and open challenges like dataset heterogeneity.
Identifying self-admitted technical debt through code comment analysis with a contextualized vocabulary.Information and Software Technology.2020;121(January 2019)
1 Pith paper cite this work, alongside 47 external citations. Polarity classification is still indexing.
1
Pith paper citing it
47
external citations · external index
fields
cs.SE 1years
2023 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Self-Admitted Technical Debt Detection Approaches: A Decade Systematic Review
A systematic literature review summarizing the shift in SATD detection from heuristic keyword methods to ML, DL, and Transformer models, along with performance trends and open challenges like dataset heterogeneity.