VLDB 2026 Research / reviewers in the wild / expert
Zhiling Huang
dblp:275/9930
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0001-1596-246XORCID · 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 |
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 › build systems
build failure analysis |
0.3 | 1 | 2025 | PackHunter: Recovering Missing Packages for C/C++ Projects · IEEE Trans. Software Eng. 2025 |
Methods — techniques the papers use, named apart from their topics
program reduction · 0.9mock build · 0.9greedy package prioritization · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | PackHunter: Recovering Missing Packages for C/C++ ProjectsabstractThe reproducibility of software artifacts is a critical aspect of software development and application. However, current research indicates that a notable proportion of C/C++ projects encounter non-reproducibility issues stemming from build failures, primarily attributed to the absence of necessary packages. This paper introducesPackHunter, a novel technique that automates the recovery of missing packages in C/C++ projects. By identifying missing files during the project's build process,PackHuntercan determine potentially missing packages and synthesize an installation script. Specifically, it simplifies C/C++ projects through program reduction to reduce build overhead and simulates the presence of missing files via mock build to ensure a successful build for probing missing files. Besides,PackHunterleverages a sophisticated design to eliminate packages that do not contain the required missing files, effectively reducing the search space. Furthermore,PackHunterintroduces a greedy strategy to prioritize the packages, eventually recovering missing packages with few times of package enumeration. We have implementedPackHunteras a tool and evaluated it on 30 real-world projects. The results demonstrate thatPackHuntercan recover missing packages efficiently, achieving 26.59$\boldsymbol{\times}$speed up over the state-of-the-art approach. The effectiveness ofPackHunterhighlights its potential to assist developers in building C/C++ artifacts and promote software reproducibility. Rongxin Wu, Zhiling Huang, Zige Tian, Chengpeng Wang 0001, Xiangyu Zhang 0001 |
IEEE Trans. Software Eng. | 2 |