Demo Data from VLDB 2026 / reviewers in the wild / expert
Minglei Chen
dblp:337/0791
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · unresolved
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 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software maintenance and evolution › build systems
build dependency error detection |
0.6 | 1 | 2022 | Accelerating Build Dependency Error Detection via Virtual Build · ASE 2022 |
Software maintenance and evolution
build systems |
0.6 | 1 | 2022 | Accelerating Build Dependency Error Detection via Virtual Build · ASE 2022 |
Methods — techniques the papers use, named apart from their topics
virtual build · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Accelerating Build Dependency Error Detection via Virtual BuildabstractBuild scripts play an important role in transforming the source code into executable artifacts. However, the development of build scripts is typically error-prone. As one kind of the most prevalent errors in build scripts, the dependency-related errors, including missing dependencies and redundant dependencies, draw the attention of many researchers. A variety of build dependency analysis techniques have been proposed to tackle them. Unfortunately, most of these techniques, even the state-of-the-art ones, suffer from efficiency issues due to the expensive cost of monitoring the complete build process to build dynamic dependencies. Especially for large-scale projects, such the cost would not be affordable. Rongxin Wu, Minglei Chen, Chengpeng Wang 0001, Gang Fan, Jiguang Qiu, Charles Zhang 0001 |
ASE | 2 |