Demo Data from EDBT 2026 / reviewers in the wild / expert
Pascal Cuoq
dblp:86/3056
· DBLP profile ↗
9ranked-venue papers
5as first author
0since 2021 · last 2017
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 9 · 5 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 |
Software testing · 50% Debugging and program repair · 50% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Debugging and program repair › fault localization
compiler bug isolation |
0.1 | 1 | 2012 | Test-case reduction for C compiler bugs · PLDI 2012 |
Software testing
compiler testing |
0.1 | 1 | 2012 | Test-case reduction for C compiler bugs · PLDI 2012 |
Debugging and program repair
fault localization |
0.1 | 1 | 2012 | Test-case reduction for C compiler bugs · PLDI 2012 |
Software testing › test optimization
test case reduction |
0.1 | 1 | 2012 | Test-case reduction for C compiler bugs · PLDI 2012 |
Methods — techniques the papers use, named apart from their topics
modular program transformation · 0.1fixpoint computation · 0.1delta debugging · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Detecting Strict Aliasing Violations in the Wild
Pascal Cuoq, Loïc Runarvot, Alexander Cherepanov |
VMCAI | 1 |
| 2014 | Behind the scenes in SANTE: a combination of static and dynamic analyses
Omar Chebaro, Pascal Cuoq, Nikolai Kosmatov, Bruno Marre, Anne Pacalet, Nicky Williams, Boris Yakobowski |
Autom. Softw. Eng. | 2 |
| 2013 | Driving a sound static software analyzer with branch-and-boundabstractDuring the last decade, static analyzers of source code have improved greatly. Today, precise analyzers that propagate values for the program's variables, for instance with interval arithmetic, are used in the industry. The simultaneous propagation of sets of values, while computationally efficient, is a source of approximations, and ultimately of false positives. When the loss of precision is detrimental to the user's goals, a user needs to provide some kind of manual guidance. Frama-C, a framework for the static analysis of C programs, provides a sound value analyzer. This analyzer can optionally be guided by skillfully placed user annotations. This article describes SPALTER, a Frama-C plug-in that uses a variation of the Skelboe-Moore algorithm from the field of interval arithmetic to guide Frama-C's value analyzer towards a high-level objective set by the user. SPALTER reproduces the results of a case study that used Frama-C's value analysis and required extensive manual guidance. In difference, our approach with SPALTER required no guidance, except preparation of the analyzed program by slicing. Sven Mattsen, Pascal Cuoq, Sibylle Schupp |
SCAM | 2 |
| 2012 | Test-case reduction for C compiler bugsabstractTo report a compiler bug, one must often find a small test case that triggers the bug. The existing approach to automated test-case reduction, delta debugging, works by removing substrings of the original input; the result is a concatenation of substrings that delta cannot remove. We have found this approach less than ideal for reducing C programs because it typically yields test cases that are too large or even invalid (relying on undefined behavior). To obtain small and valid test cases consistently, we designed and implemented three new, domain-specific test-case reducers. The best of these is based on a novel framework in which a generic fixpoint computation invokes modular transformations that perform reduction operations. This reducer produces outputs that are, on average, more than 25 times smaller than those produced by our other reducers or by the existing reducer that is most commonly used by compiler developers. We conclude that effective program reduction requires more than straightforward delta debugging. John Regehr, Yang Chen 0024, Pascal Cuoq, Eric Eide, Chucky Ellison, Xuejun Yang |
PLDI | 3 |
| 2012 | Frama-C - A Software Analysis Perspective
Pascal Cuoq, Florent Kirchner, Nikolai Kosmatov, Virgile Prevosto, Julien Signoles, Boris Yakobowski |
SEFM | 1 |
| 2011 | Functional dependencies of C functions via weakest pre-conditions
Pascal Cuoq, Benjamin Monate, Anne Pacalet, Virgile Prevosto |
Int. J. Softw. Tools Technol. Transf. | 1 |
| 2009 | Experience report: OCaml for an industrial-strength static analysis frameworkabstractThis experience report describes the choice of OCaml as the implementation language for Frama-C, a framework for the static analysis of C programs. OCaml became the implementation language for Frama-C because it is expressive. Most of the reasons listed in the remaining of this article are secondary reasons, features which are not specific to OCaml (modularity, availability of a C parser, control over the use of resources...) but could have prevented the use of OCaml for this project if they had been missing. Pascal Cuoq, Julien Signoles, Patrick Baudin, Richard Bonichon, Géraud Canet, Loïc Correnson, Benjamin Monate, Virgile Prevosto, Armand Puccetti |
ICFP | 1 |
| 2009 | A Value Analysis for C ProgramsabstractWe demonstrate the value analysis of Frama-C. Frama-C is an Open Source static analysis framework for the C language. In Frama-C, each static analysis technique, approach or idea can be implemented as a new plug-in, with the opportunity to obtain information from other plug-ins, and to leave the verification of difficult properties to yet other plug-ins. The new analysis may in turn provide access to the data it has computed. The value analysis of Frama-C is a plug-in based on abstract interpretation. It computes and stores supersets of possible values for all the variables at each statement of the analyzed program. It handles pointers, arrays, structs, and heterogeneous pointer casts. Besides producing supersets of possible values for the variables at each point of the execution, the value analysis produces run-time-error alarms. An alarm is emitted for each operation in the analyzed program where the value analysis cannot guarantee that there will not be a run-time error. Géraud Canet, Pascal Cuoq, Benjamin Monate |
SCAM | 2 |
| 2001 | Modular Causality in a Synchronous Stream Language
Pascal Cuoq, Marc Pouzet |
ESOP | 1 |