Demo Data from SIGIR 2026 / reviewers in the wild / expert
Zahy Volf
dblp:204/3630
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2017
—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 · 50% Empirical software engineering · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software maintenance and evolution › release engineering
continuous integration |
0.3 | 1 | 2017 | Screening heuristics for project gating systems · ESEC/SIGSOFT FSE 2017 |
Empirical software engineering
software defect prediction |
0.3 | 1 | 2017 | Screening heuristics for project gating systems · ESEC/SIGSOFT FSE 2017 |
Methods — techniques the papers use, named apart from their topics
project gating heuristics · 0.3bug prediction · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Screening heuristics for project gating systemsabstractContinuous Integration (CI) is a hot topic. Yet, little attention is payed to how CI systems work and what impacts their behavior. In parallel, bug prediction in software is gaining high attention. But this is done mostly in the context of software engineering, and the relation to the realm of CI and CI systems engineering has not been established yet. In this paper we describe how Project Gating systems operate, which are a specific type of CI systems used to keep the mainline of development always clean. We propose and evaluate three heuristics for improving Gating performance and demonstrate their trade-offs. The third heuristic, which leverages state-of-the-art bug prediction achieves the best performance across the entire spectrum of workload conditions. Zahy Volf, Edi Shmueli |
ESEC/SIGSOFT FSE | 1 |