Demo Data from SIGIR 2026 / reviewers in the wild / expert
Jia-Jen Yeh
dblp:32/1517
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 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.
| Theoretical computer science
1 paper |
Automated reasoning and model checking · 67% Mathematical optimization · 33% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Electronic design automation · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Mathematical optimization › submodular optimization
coverage problem |
0.2 | 1 | 2014 | Accelerating Coverage Estimation Through Partial Model Checking · IEEE Trans. Computers 2014 |
Automated reasoning and model checking
model checking |
0.2 | 1 | 2014 | Accelerating Coverage Estimation Through Partial Model Checking · IEEE Trans. Computers 2014 |
Electronic design automation › hardware verification and test
hardware verification |
0.1 | 1 | 2014 | Accelerating Coverage Estimation Through Partial Model Checking · IEEE Trans. Computers 2014 |
Methods — techniques the papers use, named apart from their topics
partial model checking · 0.4mutation analysis · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Accelerating Coverage Estimation Through Partial Model CheckingabstractIn model checking a system design against a set of properties, coverage estimation is frequently used to measure the amount of system behavior being checked by the properties. A popular coverage estimation method is to mutate the system model and check if the mutation can be detected by the given properties. For each mutation and each property, a full model check is required by some state-of-the-art coverage estimation methods. With such repeated model checking, mutation-based coverage estimation becomes significantly time-consuming. To alleviate this problem, a partial model checking (PMC) technique is proposed to recheck only those system states that were affected by a mutation, thus unnecessary rechecking of a large portion of the system states is avoided and time is saved. The PMC method has been integrated into the State Graph Manipulators model checker. Applying the proposed method to several examples showed that PMC has a saving of 50% to 70% in the coverage estimation time, and a reduction of 90% in mode visits. Yean-Ru Chen, Jia-Jen Yeh, Pao-Ann Hsiung, Sao-Jie Chen |
IEEE Trans. Computers | 2 |
| 2006 | Model Checking Timed Systems with Urgencies
Pao-Ann Hsiung, Shangwei Lin 0001, Yean-Ru Chen, Chun-Hsian Huang, Jia-Jen Yeh, Chao-Sheng Lin, Hsiao-Win Liao |
ATVA | 5 |