Demo Data from EDBT 2026 / reviewers in the wild / expert
Anton Dubrau
dblp:50/7937 · also Anton Willy Dubrau
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2012
—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-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 |
Compilers and program optimization · 56% Programming languages and type systems · 44% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Compilers and program optimization
program transformation |
0.1 | 1 | 2012 | Taming MATLAB · OOPSLA 2012 |
Programming languages and type systems
type inference |
0.1 | 1 | 2012 | Taming MATLAB · OOPSLA 2012 |
Compilers and program optimization
intermediate representation |
0.0 | 1 | 2012 | Taming MATLAB · OOPSLA 2012 |
Methods — techniques the papers use, named apart from their topics
type inference · 0.1call graph analysis · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | Taming MATLABabstractMATLAB is a dynamic scientific language used by scientists, engineers and students worldwide. Although MATLAB is very suitable for rapid prototyping and development, MATLAB users often want to convert their final MATLAB programs to a static language such as FORTRAN. This paper presents an extensible object-oriented toolkit for supporting the generation of static programs from dynamic MATLAB programs. Our open source toolkit, called the MATLAB Tamer, identifies a large tame subset of MATLAB, supports the generation of a specialized Tame IR for that subset, provides a principled approach to handling the large number of builtin MATLAB functions, and supports an extensible interprocedural value analysis for estimating MATLAB types and call graphs. Anton Dubrau, Laurie J. Hendren |
OOPSLA | 1 |