TechDebt 2023
Sun 14 - Mon 15 May 2023 Melbourne, Australia
co-located with ICSE 2023
Sun 14 May 2023 11:25 - 11:50 at Meeting Room 101 - Self-Admitted Technical Debt

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 May

Displayed time zone: Hobart change

11:00 - 12:30
Self-Admitted Technical DebtPlenary / Technical Papers / Short Papers at Meeting Room 101
11:00
25m
Research 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
25m
Research 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
15m
Short-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
15m
Short-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
10m
Live Q&A
Open Q&A
Plenary