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Minglei Chen

dblp:337/0791 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Software maintenance and evolution › build systems
build dependency error detection
0.612022
Accelerating Build Dependency Error Detection via Virtual Build · ASE 2022
Software maintenance and evolution
build systems
0.612022
Accelerating Build Dependency Error Detection via Virtual Build · ASE 2022

Methods — techniques the papers use, named apart from their topics

virtual build · 0.6
YearPublicationVenuePosition
2022 Accelerating Build Dependency Error Detection via Virtual Build
abstract
Build 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
ASE2