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Jean-Jacques Thiel

dblp:92/5289 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 1990
—ORCID · none

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

Software engineering, systems software and programming languages · 1 · 1 first-authorTheory 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.

Theoretical computer science
1 paper
Logic in computer science · 67% Automated reasoning and model checking · 33%
Software engineering, system software, and programming languages
1 paper
Programming languages and type systems · 50% Requirements engineering and software design · 50%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Logic in computer science
completeness
0.011990
Tools for Proving Inductive Equalities, Relative Completeness, and omega-Completeness · Inf. Comput. 1990
Logic in computer science
proof theory
0.011990
Tools for Proving Inductive Equalities, Relative Completeness, and omega-Completeness · Inf. Comput. 1990
Automated reasoning and model checking
theorem proving
0.011990
Tools for Proving Inductive Equalities, Relative Completeness, and omega-Completeness · Inf. Comput. 1990
Requirements engineering and software design › requirements quality
ambiguity detection
0.011984
Stop Losing Sleep Over Incomplete Data Type Specifications · POPL 1984
Programming languages and type systems
term rewriting
0.011984
Stop Losing Sleep Over Incomplete Data Type Specifications · POPL 1984

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

inductive theorem proving · 0.0rewriting · 0.0
YearPublicationVenuePosition
1990 Tools for Proving Inductive Equalities, Relative Completeness, and omega-Completeness
Azeddine Lazrek, Pierre Lescanne, Jean-Jacques Thiel
Inf. Comput.3
1984 Stop Losing Sleep Over Incomplete Data Type Specifications
abstract
We give an algorithm to test the completeness of definitions holding on the rewrite systems that they generate. At the opposite of existing techniques that are very restrictive (left-hand sides of definitions must be linear) or rather inefficient our solution is both powerful and efficient. Also, the algorithm that we give detects ambigous or/and incomplete definitions and can tell you why they are ambigous or/and incomplete. It applies too to definitions in presence of equations.
Jean-Jacques Thiel
POPL1