A practitioner study with 11 participants produces a six-family taxonomy of stakeholder criteria for technical debt decisions, distinguishing acquisition from repayment functions.
A systematic mapping study on technical debt and its management,
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.SE 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
ML-specific code smells occur 41-94 times less often than general Python smells in 279 projects, with associations to commit frequency and domain but none for general smells or most other project characteristics.
citing papers explorer
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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.
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Comparing ML-Specific and General Python Code Smells Across Project Characteristics
ML-specific code smells occur 41-94 times less often than general Python smells in 279 projects, with associations to commit frequency and domain but none for general smells or most other project characteristics.