Demo Data from SIGIR 2026 / reviewers in the wild / expert
Seyed Hooman Mostafavi
dblp:358/9114
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0001-7360-4951ORCID · reported
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 |
Debugging and program repair · 100% | |
| Databases, data mining, and information retrieval
1 paper |
Information retrieval · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Debugging and program repair › fault localization
bug localization |
0.8 | 1 | 2024 | On Using GUI Interaction Data to Improve Text Retrieval-based Bug Localization · ICSE 2024 |
Debugging and program repair
fault localization |
0.8 | 1 | 2024 | On Using GUI Interaction Data to Improve Text Retrieval-based Bug Localization · ICSE 2024 |
Information retrieval
document retrieval |
0.2 | 1 | 2024 | On Using GUI Interaction Data to Improve Text Retrieval-based Bug Localization · ICSE 2024 |
Information retrieval
retrieval models |
0.2 | 1 | 2024 | On Using GUI Interaction Data to Improve Text Retrieval-based Bug Localization · ICSE 2024 |
Methods — techniques the papers use, named apart from their topics
GUI interaction data · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | On Using GUI Interaction Data to Improve Text Retrieval-based Bug LocalizationabstractOne of the most important tasks related to managing bug reports is localizing the fault so that a fix can be applied. As such, prior work has aimed to automate this task of bug localization by formulating it as an information retrieval problem, where potentially buggy files are retrieved and ranked according to their textual similarity with a given bug report. However, there is often a notable semantic gap between the information contained in bug reports and identifiers or natural language contained within source code files. For user-facing software, there is currently a key source of information that could aid in bug localization, but has not been thoroughly investigated - information from the graphical user interface (GUI). Junayed Mahmud, Nadeeshan De Silva, Safwat Ali Khan, Seyed Hooman Mostafavi, S. M. Hasan Mansur 0001, Oscar Chaparro, Andrian Marcus, Kevin Moran |
ICSE | 4 |