Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Leo Yuhsiang Liu

dblp:88/1281 · DBLP profile ↗
← Back
3ranked-venue papers
3as first author
0since 2021 · last 1994
—ORCID · none

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

Software engineering, systems software and programming languages · 3 · 3 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
Program analysis · 50% Program verification · 50%
Theoretical computer science
1 paper
Distributed computing theory · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Program analysis
static analysis
0.011990
Static Analysis of Real-Time Distributed Systems · IEEE Trans. Software Eng. 1990
Program verification › quantitative verification
timing verification
0.011990
Static Analysis of Real-Time Distributed Systems · IEEE Trans. Software Eng. 1990

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

pure maximal parallelism model · 0.0action set semantics · 0.0
YearPublicationVenuePosition
1994 RT-CDL: A Distributed Real-Time Design Language and Its Operational Semantics
Leo Yuhsiang Liu, R. K. Shyamasundar
Comput. Lang.1
1990 Exception Handling in RT-CDL
Leo Yuhsiang Liu, R. K. Shyamasundar
Comput. Lang.1
1990 Static Analysis of Real-Time Distributed Systems
abstract
A static analysis for reasoning about the temporal behaviors of programs in real-time distributed programming languages is proposed. The analysis is based on the action set semantics using the pure maximal parallelism model. It is shown how to specify and verify various timing properties of real-time programs. The approach provides only an approximate timing behavior, because the state information is ignored. However, many interesting properties such as parallel actions, deadlocks, livelocks, terminations, temporal errors, and failures, can be identified. Furthermore, the approach is compositional and thus makes it possible to reason about the timing properties incrementally. The method not only leads to efficient algorithms for the static analysis of CSP programs but also applies to many other languages.>
Leo Yuhsiang Liu, R. K. Shyamasundar
IEEE Trans. Software Eng.1