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Ching Hoo Tang

dblp:35/1913 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none

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

Artificial intelligence and machine learning · 1Software 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
Requirements engineering and software design · 67% Program verification · 33%

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

TopicWeightPapersLastEvidence papers
Program verification
automated verification
0.212013
Automated verification of interactive rule-based configuration systems · ASE 2013
Requirements engineering and software design
software product lines
0.212013
Automated verification of interactive rule-based configuration systems · ASE 2013
Requirements engineering and software design › software product lines
variability modeling
0.212013
Automated verification of interactive rule-based configuration systems · ASE 2013

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

rule-based specification · 0.2model checking · 0.2
YearPublicationVenuePosition
2013 Automated verification of interactive rule-based configuration systems
abstract
Rule-based specifications of systems have again become common in the context of product line variability modeling and configuration systems. In this paper, we define a logical foundation for rule-based specifications that has enough expressivity and operational behavior to be practically useful and at the same time enables decidability of important overall properties such as consistency or cycle-freeness. Our logic supports rule-based interactive user transitions as well as the definition of a domain theory via rule transitions. As a running example, we model DOPLER, a rule-based configuration system currently in use at Siemens.
Deepak Dhungana, Ching Hoo Tang, Christoph Weidenbach, Patrick Wischnewski
ASE2
2008 How Single Ant ACO Systems Optimize Pseudo-Boolean Functions
Benjamin Doerr, Daniel Johannsen, Ching Hoo Tang
PPSN3