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Xingwei Wang 0005

dblp:99/4694-5 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Software testing
metamorphic testing
0.412020
Testing high performance numerical simulation programs: experience, lessons learned, and open issues · ISSTA 2020
Software testing › random testing
property-based testing
0.412020
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
YearPublicationVenuePosition
2020 Testing high performance numerical simulation programs: experience, lessons learned, and open issues
abstract
High 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
ISSTA2