Demo Data from SIGIR 2026 / reviewers in the wild / expert
Vaishali Khanve
dblp:246/5350
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2019
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1 · 1 first-author
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 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software maintenance and evolution
code smell |
0.4 | 1 | 2019 | Are existing code smells relevant in web games? an empirical study · ESEC/SIGSOFT FSE 2019 |
Methods — techniques the papers use, named apart from their topics
code smell detection · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Are existing code smells relevant in web games? an empirical studyabstractIn software applications, code smells are considered as bad coding practices acquired at the time of development. The presence of such code smells in games may affect the process of game development adversely. Our preliminary study aims at investigating the existence of code smells in the games. To achieve this, we used JavaScript code smells detection tool JSNose against 361 JavaScript web games to find occurrences of JavaScript smells in games. Further, we conducted a manual study to find violations of known game programming patterns in 8 web games to verify the necessity of game-specific code smells detection tool. Our results shows that existing JavaScript code smells detection tool is not sufficient to find game-specific code smells in web games. Vaishali Khanve |
ESEC/SIGSOFT FSE | 1 |