Demo Data from VLDB 2026 / reviewers in the wild / expert
Xingwei Wang 0005
dblp:99/4694-5
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1
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 testing · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software testing
metamorphic testing |
0.4 | 1 | 2020 | Testing high performance numerical simulation programs: experience, lessons learned, and open issues · ISSTA 2020 |
Software testing › random testing
property-based testing |
0.4 | 1 | 2020 | Testing high performance numerical simulation programs: experience, lessons learned, and open issues · ISSTA 2020 |
Methods — techniques the papers use, named apart from their topics
property-based testing · 0.4metamorphic testing · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Testing high performance numerical simulation programs: experience, lessons learned, and open issuesabstractHigh performance numerical simulation programs are widely used to simulate actual physical processes on high performance computers for the analysis of various physical and engineering problems. They are usually regarded as non-testable due to their high complexity. This paper reports our real experience and lessons learned from testing five simulation programs that will be used to design and analyze nuclear power plants. We applied five testing approaches and found 33 bugs. We found that property-based testing and metamorphic testing are two effective methods. Nevertheless, we suffered from the lack of domain knowledge, the high test costs, the shortage of test cases, severe oracle issues, and inadequate automation support. Consequently, the five programs are not exhaustively tested from the perspective of software testing, and many existing software testing techniques and tools are not fully applicable due to scalability and portability issues. We need more collaboration and communication with other communities to promote the research and application of software testing techniques. Xiao He 0005, Xingwei Wang 0005 |
ISSTA | 2 |