7 citations · 15 across the 10 of their papers we have counts for
4 papers · 1 filter
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…
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…
Characterising Developer Sentiment in Software Components: An Exploratory Study of Gentoo
Tien Rahayu Tulili, Ayushi Rastogi, Andrea Capiluppi
Collaborative software development happens in teams, that cooperate on shared artefacts, and discuss development on online platforms. Due to the complexity of development and the v…
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…