Demo Data from SIGIR 2026 / reviewers in the wild / expert
Marcus R. de Araújo
dblp:211/9180
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 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 |
Programming languages and type systems · 87% Program analysis · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Programming languages and type systems › language semantics
c semantics |
0.3 | 1 | 2018 | Inference of static semantics for incomplete C programs · Proc. ACM Program. Lang. 2018 |
Programming languages and type systems
type inference |
0.3 | 1 | 2018 | Inference of static semantics for incomplete C programs · Proc. ACM Program. Lang. 2018 |
Program analysis › static analysis
static analysis tools |
0.1 | 1 | 2018 | Inference of static semantics for incomplete C programs · Proc. ACM Program. Lang. 2018 |
Methods — techniques the papers use, named apart from their topics
unification · 0.3type inference · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Inference of static semantics for incomplete C programsabstractIncomplete source code naturally emerges in software development: during the design phase, while evolving, testing and analyzing programs. Therefore, the ability to understand partial programs is a valuable asset. However, this problem is still unsolved in the C programming language. Difficulties stem from the fact that parsing C requires, not only syntax, but also semantic information. Furthermore, inferring types so that they respect C's type system is a challenging task. In this paper we present a technique that lets us solve these problems. We provide a unification-based type inference capable of dealing with C intricacies. The ideas we present let us reconstruct partial C programs into complete well-typed ones. Such program reconstruction has several applications: enabling static analysis tools in scenarios where software components may be absent; improving static analysis tools that do not rely on build-specifications; allowing stub-generation and testing tools to work on snippets; and assisting programmers on the extraction of reusable data-structures out of the program parts that use them. Our evaluation is performed on source code from a variety of C libraries such as GNU's Coreutils, GNULib, GNOME's GLib, and GDSL; on implementations from Sedgewick's books; and on snippets from popular open-source projects like CPython, FreeBSD, and Git. Leandro T. C. Melo, Rodrigo Geraldo Ribeiro, Marcus R. de Araújo, Fernando Magno Quintão Pereira |
Proc. ACM Program. Lang. | 3 |