Demo Data from SIGIR 2026 / reviewers in the wild / expert
Bongsuk Ko
dblp:174/2008
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1
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 |
Debugging and program repair · 87% Software maintenance and evolution · 13% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Debugging and program repair
fault localization |
0.2 | 1 | 2015 | Mutation-Based Fault Localization for Real-World Multilingual Programs (T) · ASE 2015 |
Debugging and program repair › fault localization
mutation-based fault localization |
0.2 | 1 | 2015 | Mutation-Based Fault Localization for Real-World Multilingual Programs (T) · ASE 2015 |
Methods — techniques the papers use, named apart from their topics
mutation operators · 0.2mutation analysis · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Mutation-Based Fault Localization for Real-World Multilingual Programs (T)abstractProgrammers maintain and evolve their software in a variety of programming languages to take advantage of various control/data abstractions and legacy libraries. The programming language ecosystem has diversified over the last few decades, and non-trivial programs are likely to be written in more than a single language. Unfortunately, language interfaces such as Java Native Interface and Python/C are difficult to use correctly and the scope of fault localization goes beyond language boundaries, which makes debugging multilingual bugs challenging. To overcome the aforementioned limitations, we propose a mutation-based fault localization technique for real-world multilingual programs. To improve the accuracy of locating multilingual bugs, we have developed and applied new mutation operators as well as conventional mutation operators. The results of the empirical evaluation for six non-trivial real-world multilingual bugs are promising in that the proposed technique identifies the buggy statements as the most suspicious statements for all six bugs. Shin Hong, Byeongcheol Lee, Taehoon Kwak, Yiru Jeon, Bongsuk Ko, Moonzoo Kim |
ASE | 5 |