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Jian-Zhong Wang

dblp:09/5051 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 1997
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 2Theory of computation · 1 · 1 first-author

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
Concurrent programming · 61% Debugging and program repair · 30% Program analysis · 9%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Concurrent programming
concurrency bugs
0.011993
Determining Possible Event Orders by Analyzing Sequential Traces · IEEE Trans. Parallel Distributed Syst. 1993
Concurrent programming › concurrency bug detection
data race detection
0.011993
Determining Possible Event Orders by Analyzing Sequential Traces · IEEE Trans. Parallel Distributed Syst. 1993
Debugging and program repair
fault localization
0.011993
Determining Possible Event Orders by Analyzing Sequential Traces · IEEE Trans. Parallel Distributed Syst. 1993
Program analysis › dynamic analysis
trace analysis
0.011993
Determining Possible Event Orders by Analyzing Sequential Traces · IEEE Trans. Parallel Distributed Syst. 1993

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

inferred program analysis · 0.0constraint checking · 0.0
YearPublicationVenuePosition
1997 The Exponent of the Primitive Cayley Digraphs on Finite Abelian Groups
Jian-Zhong Wang, Jixiang Meng
Discret. Appl. Math.1
1993 Determining Possible Event Orders by Analyzing Sequential Traces
abstract
One of the fundamental problems encountered when debugging a parallel program is determining the possible orders in which events could have occurred. Various problems, such as data races and intermittent deadlock, arise when there is insufficient synchronization between the tasks in a parallel program. A sequential trace of an execution can be misleading, as it implies additional event orderings, distorting the concurrent nature of the computation. Algorithms to generate, from the trace of an execution, those event orderings that can be relied on by the programmer are described. By its very nature, the information in an execution trace pertains only to that execution of the program, and may not generalize to other executions. This difficulty is mitigated by defining an inferred program based on the trace and original program, analyzing this inferred program, and showing how the inferred program relates to the original. The results of the algorithms can be used by other automated tools such as a data race detector or constraint checker.>
David P. Helmbold, Charles E. McDowell, Jian-Zhong Wang
IEEE Trans. Parallel Distributed Syst.3
1990 Analyzing Traces with Anonymous Synchronization
David P. Helmbold, Charles E. McDowell, Jian-Zhong Wang
ICPP (2)3