7 citations · 15 across the 7 of their papers we have counts for
Showing 2024Show all
3 papers · 1 filter
cs.SE2024
Development and Adoption of SATD Detection Tools: A State-of-practice Report
Edi Sutoyo, Andrea Capiluppi
Self-Admitted Technical Debt (SATD) refers to instances where developers knowingly introduce suboptimal solutions into code and document them, often through textual artifacts. This…
cs.SE2024★ 4 cited
Deep Learning and Data Augmentation for Detecting Self-Admitted Technical Debt
Edi Sutoyo, Paris Avgeriou, Andrea Capiluppi
Self-Admitted Technical Debt (SATD) refers to circumstances where developers use textual artifacts to explain why the existing implementation is not optimal. Past research in detec…
cs.SE2024★ 7 cited
SATDAUG -- A Balanced and Augmented Dataset for Detecting Self-Admitted Technical Debt
Edi Sutoyo, Andrea Capiluppi
Self-admitted technical debt (SATD) refers to a form of technical debt in which developers explicitly acknowledge and document the existence of technical shortcuts, workarounds, or…