Demo Data from SIGIR 2026 / reviewers in the wild / expert
Ching Hoo Tang
dblp:35/1913
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Program verification
automated verification |
0.2 | 1 | 2013 | Automated verification of interactive rule-based configuration systems · ASE 2013 |
Requirements engineering and software design
software product lines |
0.2 | 1 | 2013 | Automated verification of interactive rule-based configuration systems · ASE 2013 |
Requirements engineering and software design › software product lines
variability modeling |
0.2 | 1 | 2013 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Automated verification of interactive rule-based configuration systemsabstractRule-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 |
ASE | 2 |
| 2008 | How Single Ant ACO Systems Optimize Pseudo-Boolean Functions
Benjamin Doerr, Daniel Johannsen, Ching Hoo Tang |
PPSN | 3 |