François Pessaux

dblp:51/1728 · DBLP profile ↗
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4ranked-venue papers
1as first author
1since 2021 · last 2026
0000-0002-4219-3854ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 3 · 1 first-authorArtificial intelligence and machine learning · 1 · 1 since 2021

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
2 papers
Program analysis · 72% Programming languages and type systems · 28%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Program analysis › flow analysis
exception analysis
0.122000
Type-based analysis of uncaught exceptions · ACM Trans. Program. Lang. Syst. 2000
Type-Based Analysis of Uncaught Exceptions · POPL 1999
Programming languages and type systems › computational effects
effect systems
0.012000
Type-based analysis of uncaught exceptions · ACM Trans. Program. Lang. Syst. 2000
Program analysis › control flow analysis
exception flow analysis
0.012000
Type-based analysis of uncaught exceptions · ACM Trans. Program. Lang. Syst. 2000
Program analysis
type-based analysis
0.012000
Type-based analysis of uncaught exceptions · ACM Trans. Program. Lang. Syst. 2000
Program analysis
static analysis
0.011999
Type-Based Analysis of Uncaught Exceptions · POPL 1999
Programming languages and type systems
type inference
0.011999
Type-Based Analysis of Uncaught Exceptions · POPL 1999

Methods — techniques the papers use, named apart from their topics

row types · 0.1unification-based type inference · 0.0effect systems · 0.0control flow analysis · 0.0
YearPublicationVenuePosition
2026 A Rocq Prover STL Formalization with Transformations for Mission Planning
Danil Berrah, François Pessaux, Alexandre Chapoutot
J. Autom. Reason.2
2012 ML Dependency Analysis for Assessors
Philippe Ayrault, Vincent Benayoun, Catherine Dubois, François Pessaux
SEFM4
2000 Type-based analysis of uncaught exceptions
abstract
This article presents a program analysis to estimate uncaught exceptions in ML programs. This analysis relies on unification-based type inference in a nonstandard type system, using rows to approximate both the flow of escaping exceptions (a la effect systems) and the flow of result values (a la control-flow analyses). The resulting analysis is efficient and precise; in particular, arguments carried by exceptions are accurately handled.
Xavier Leroy, François Pessaux
ACM Trans. Program. Lang. Syst.2
1999 Type-Based Analysis of Uncaught Exceptions
abstract
This paper presents a program analysis to estimate uncaught exceptions in ML programs. This analysis relies on unification-based type inference in a non-standard type system, using rows to approximate both the flow of escaping exceptions (a la effect systems) and the flow of result values (a la control-flow analyses). The resulting analysis is efficient and precise; in particular, arguments carried by exceptions are accurately handled.
François Pessaux, Xavier Leroy
POPL1