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Wilberto Z. Nunez

dblp:204/3557 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Software maintenance and evolution › program comprehension
code comprehension
0.312017
ARCC: assistant for repetitive code comprehension · ESEC/SIGSOFT FSE 2017
Program analysis
static analysis
0.312017
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
YearPublicationVenuePosition
2017 ARCC: assistant for repetitive code comprehension
abstract
As 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 FSE1