EDBT 2026 Demo / reviewers in the wild / expert
Stéphane Lescuyer
dblp:66/3754
· DBLP profile ↗
4ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 3Artificial intelligence and machine learning · 1Theory of computation · 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 analysis · 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 › program logic
frame conditions |
0.4 | 1 | 2019 | Inferring frame conditions with static correlation analysis · Proc. ACM Program. Lang. 2019 |
Program analysis › data flow analysis
interprocedural dataflow analysis |
0.4 | 1 | 2019 | Inferring frame conditions with static correlation analysis · Proc. ACM Program. Lang. 2019 |
Program analysis
static analysis |
0.4 | 1 | 2019 | Inferring frame conditions with static correlation analysis · Proc. ACM Program. Lang. 2019 |
Methods — techniques the papers use, named apart from their topics
data flow analysis · 0.4abstract interpretation · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Inferring frame conditions with static correlation analysisabstractWe introduce the abstract domain of correlations to denote equality relations between parts of inputs and outputs of programs. We formalise the theory of correlations, and mechanically verify their semantic properties. We design a static inter-procedural dataflow analysis for automatically inferring correlations for programs written in a first-order language equipped with algebraic data-types and arrays. The analysis, its precision and execution cost, have been evaluated on the code and functional specification of an industrial-size micro-kernel. We exploit the inferred correlations to automatically discharge two thirds of the proof obligations related to the preservation of invariants for this micro-kernel. Oana Fabiana Andreescu, Thomas P. Jensen, Stéphane Lescuyer, Benoît Montagu |
Proc. ACM Program. Lang. | 3 |
| 2016 | Correlating Structured Inputs and Outputs in Functional Specifications
Oana Fabiana Andreescu, Thomas P. Jensen, Stéphane Lescuyer |
SEFM | 3 |
| 2015 | Dependency Analysis of Functional Specifications with Algebraic Data Structures
Oana Fabiana Andreescu, Thomas P. Jensen, Stéphane Lescuyer |
ICFEM | 3 |
| 2007 | Handling Polymorphism in Automated Deduction
Jean-François Couchot, Stéphane Lescuyer |
CADE | 2 |