EDBT 2026 Demo / reviewers in the wild / expert
Patiphol Pussawong
dblp:301/7664
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Software engineering, system software, and programming languages
1 paper |
Software maintenance and evolution · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software maintenance and evolution
issue tracking |
0.5 | 1 | 2021 | FixMe: A GitHub Bot for Detecting and Monitoring On-Hold Self-Admitted Technical Debt · ASE 2021 |
Software maintenance and evolution › technical debt
self-admitted technical debt |
0.5 | 1 | 2021 | FixMe: A GitHub Bot for Detecting and Monitoring On-Hold Self-Admitted Technical Debt · ASE 2021 |
Software maintenance and evolution
software monitoring |
0.5 | 1 | 2021 | FixMe: A GitHub Bot for Detecting and Monitoring On-Hold Self-Admitted Technical Debt · ASE 2021 |
Software maintenance and evolution
technical debt |
0.5 | 1 | 2021 | FixMe: A GitHub Bot for Detecting and Monitoring On-Hold Self-Admitted Technical Debt · ASE 2021 |
Methods — techniques the papers use, named apart from their topics
machine learning · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | FixMe: A GitHub Bot for Detecting and Monitoring On-Hold Self-Admitted Technical DebtabstractSelf-Admitted Technical Debt (SATD) is a special form of technical debt in which developers intentionally record their hacks in the code by adding comments for attention. Here, we focus on issue-related "On-hold SATD", where developers suspend proper implementation due to issues reported inside or outside the project. When the referenced issues are resolved, the On-hold SATD also need to be addressed, but since monitoring these issue reports takes a lot of time and effort, developers may not be aware of the resolved issues and leave the On-hold SATD in the code. In this paper, we propose FixMe, a GitHub bot that helps developers detecting and monitoring On-hold SATD in their repositories and notify them whenever the On-hold SATDs are ready to be fixed (i.e. the referenced issues are resolved). The bot can automatically detect On-hold SATD comments from source code using machine learning techniques and discover referenced issues. When the referenced issues are resolved, developers will be notified by FixMe bot. The evaluation conducted with 11 participants shows that our FixMe bot can support them in dealing with On-hold SATD. FixMe is available at https://www.fixmebot.app/ and FixMe's VDO is at https://youtu.be/YSz9kFxN_YQ. Saranphon Phaithoon, Supakarn Wongnil, Patiphol Pussawong, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Thanwadee Sunetnanta, Rungroj Maipradit, Hideaki Hata, Ken-ichi Matsumoto |
ASE | 3 |