Demo Data from EDBT 2026 / reviewers in the wild / expert
Wilberto Z. Nunez
dblp:204/3557
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2017
—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 |
Program analysis · 50% Software maintenance and evolution · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software maintenance and evolution › program comprehension
code comprehension |
0.3 | 1 | 2017 | ARCC: assistant for repetitive code comprehension · ESEC/SIGSOFT FSE 2017 |
Program analysis
static analysis |
0.3 | 1 | 2017 | ARCC: assistant for repetitive code comprehension · ESEC/SIGSOFT FSE 2017 |
Methods — techniques the papers use, named apart from their topics
knowledge base of semantic code snippets · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | ARCC: assistant for repetitive code comprehensionabstractAs software projects evolve, carefully understanding the behavior of a program is mandatory before making any change. Repetitive code snippets also tend to appear throughout the codebase, and developers have to understand similar semantics multiple times. Building on this observation, we present Arcc: an Assistant for Repetitive Code Comprehension. The tool, implemented as an Eclipse plugin, assists developers in leveraging knowledge of a program to understand other programs containing a subset of the semantics in the former. Arcc differs from existing approaches in that it uses an extensible knowledge base of recurrent semantic code snippets, instead of heuristics or salient features, to summarize the behavior of a program. Given a program, we detect the occurrences of such snippets. Developers can create strategies as combinations of the snippets found and search for strategy occurrences in their workspace. Arcc highlights the source code related to every snippet and their interleaving, assisting in getting an intuition of similar programs. Finally, Arcc underlines potential common errors associated with the snippets, assisting in detecting overlooked problems. https://youtube.com/playlist?list=PLmizZtBESdPHDyKXKHMXj13r2pBCKzIoA Wilberto Z. Nunez, Victor J. Marin, Carlos R. Rivero |
ESEC/SIGSOFT FSE | 1 |