A practitioner study with 11 participants produces a six-family taxonomy of stakeholder criteria for technical debt decisions, distinguishing acquisition from repayment functions.
A tertiary study on technical debt: Types, management strategies, research trends, and base information for practitioners.Information and Software Technology.2018;102:117–145
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.SE 2verdicts
UNVERDICTED 2representative citing papers
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.
citing papers explorer
-
Stakeholder Criteria in Technical Debt Decision-Making: A Practitioner-Informed Taxonomy
A practitioner study with 11 participants produces a six-family taxonomy of stakeholder criteria for technical debt decisions, distinguishing acquisition from repayment functions.
-
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.