Demo Data from EDBT 2026 / reviewers in the wild / expert
Bruno Dawagne
dblp:151/2112
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software 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 |
Program verification · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Program verification
abstraction refinement |
0.2 | 1 | 2014 | Counterexample guided abstraction refinement of product-line behavioural models · SIGSOFT FSE 2014 |
Program verification › abstraction refinement
counterexample-guided abstraction refinement |
0.2 | 1 | 2014 | Counterexample guided abstraction refinement of product-line behavioural models · SIGSOFT FSE 2014 |
Program verification
model checking |
0.2 | 1 | 2014 | Counterexample guided abstraction refinement of product-line behavioural models · SIGSOFT FSE 2014 |
Methods — techniques the papers use, named apart from their topics
CEGAR · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Counterexample guided abstraction refinement of product-line behavioural modelsabstractThe model-checking problem for Software Products Lines (SPLs) is harder than for single systems: variability constitutes a new source of complexity that exacerbates the state-explosion problem. Abstraction techniques have successfully alleviated state explosion in single-system models. However, they need to be adapted to SPLs, to take into account the set of variants that produce a counterexample. In this paper, we apply CEGAR (Counterexample-Guided Abstraction Refinement) and we design new forms of abstraction specifically for SPLs. We carry out experiments to evaluate the efficiency of our new abstractions. The results show that our abstractions, combined with an appropriate refinement strategy, hold the potential to achieve large reductions in verification time, although they sometimes perform worse. We discuss in which cases a given abstraction should be used. Maxime Cordy, Patrick Heymans, Axel Legay, Pierre-Yves Schobbens, Bruno Dawagne, Martin Leucker |
SIGSOFT FSE | 5 |