4 citations · 4 across the 3 of their papers we have counts for
5 papers · 1 filter
Detection, Classification and Prevalence of Self-Admitted Aging Debt
Murali Sridharan, Mika Mäntylä, Leevi Rantala
Context: Previous research on software aging is limited with focus on dynamic runtime indicators like memory and performance, often neglecting evolutionary indicators like source c…
What Makes Programmers Laugh? Exploring the Submissions of the Subreddit r/ProgrammerHumor
Miikka Kuutila, Leevi Rantala, Junhao Li +2
Background: Humor is a fundamental part of human communication, with prior work linking positive humor in the workplace to positive outcomes, such as improved performance and job s…
PENTACET data -- 23 Million Contextual Code Comments and 250,000 SATD comments
Murali Sridharan, Leevi Rantala, Mika Mäntylä
Most Self-Admitted Technical Debt (SATD) research utilizes explicit SATD features such as 'TODO' and 'FIXME' for SATD detection. A closer look reveals several SATD research uses si…
Data Balancing Improves Self-Admitted Technical Debt Detection
Murali Sridharan, Mika Mantyla, Leevi Rantala +1
A high imbalance exists between technical debt and non-technical debt source code comments. Such imbalance affects Self-Admitted Technical Debt (SATD) detection performance, and ex…
Prevalence, Contents and Automatic Detection of KL-SATD
Leevi Rantala, Mika Mäntylä, David Lo
When developers use different keywords such as TODO and FIXME in source code comments to describe self-admitted technical debt (SATD), we refer it as Keyword-Labeled SATD (KL-SATD)…