Automatically Identifying Relations Between Self-Admitted Technical Debt Across Different Sources
Self-Admitted Technical Debt or SATD can be found in various sources, such as source code comments, commit messages, issue tracking systems, and pull requests. Previous research has established the existence of relations between SATD items in different sources; such relations can be useful for investigating and improving SATD management. However, there is currently a lack of approaches for automatically detecting these SATD relations. To address this, we proposed and evaluated approaches for automatically identifying SATD relations across different sources. Our findings show that our approach outperforms baseline approaches by a large margin, achieving an average F1-score of 0.829 in identifying relations between SATD items. Moreover, we explored the characteristics of SATD relations in 103 open-source projects and describe nine major cases in which related SATD is documented in a second source, and give a quantitative overview of 26 kinds of relations.
Sun 14 MayDisplayed time zone: Hobart change
11:00 - 12:30 | |||
11:00 25mResearch paper | An Exploratory Study on the Occurrence of Self-Admitted Technical Debt in Android Apps Technical Papers Gregory Wilder II University of Hawai‘i at Mānoa, Riley Miyamoto University of Hawai‘i at Mānoa, Samuel Watson University of Hawai‘i at Mānoa, Rick Kazman University of Hawai‘i at Mānoa, Anthony Peruma University of Hawai‘i at Mānoa Pre-print | ||
11:25 25mResearch paper | Automatically Identifying Relations Between Self-Admitted Technical Debt Across Different Sources Technical Papers Yikun Li University of Groningen, Mohamed Soliman University of Groningen, Paris Avgeriou Univ. of Gronningen | ||
11:50 15mShort-paper | Automated Self-Admitted Technical Debt Tracking at Commit-Level: A Language-independent Approach Short Papers Mohammad Sadegh Sheikhaei School of Computing, Queen's University, Yuan Tian Queens University, Kingston, Canada Pre-print | ||
12:05 15mShort-paper | Measuring Improvement of F1-Scores in Detection of Self-Admitted Technical Debt Short Papers William Aiken University of Ottawa, Paul K. Mvula University of Ottawa, Paula Branco University of Ottawa, Guy Jourdan University of Ottawa, Mehrdad Sabetzadeh University of Ottawa, Herna Viktor University of Ottawa Pre-print | ||
12:20 10mLive Q&A | Open Q&A Plenary |