Charles-Henri Gros

dblp:37/7795 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2013
—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
Program analysis · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Program analysis › static analysis
bug detection
0.212013
Scalable and incremental software bug detection · ESEC/SIGSOFT FSE 2013
Program analysis
static analysis
0.212013
Scalable and incremental software bug detection · ESEC/SIGSOFT FSE 2013
Program analysis › static analysis
incremental analysis
0.012013
Scalable and incremental software bug detection · ESEC/SIGSOFT FSE 2013

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

static analysis · 0.2incremental analysis · 0.2
YearPublicationVenuePosition
2013 Scalable and incremental software bug detection
abstract
An important, but often neglected, goal of static analysis for detecting bugs is the ability to show defects to the programmer quickly. Unfortunately, existing static analysis tools scale very poorly, or are shallow and cannot find complex interprocedural defects. Previous attempts at reducing the analysis time by adding more resources (CPU, memory) or by splitting the analysis into multiple sub-analyses based on defect detection capabilities resulted in limited/negligible improvements.
Scott McPeak, Charles-Henri Gros, Murali Krishna Ramanathan
ESEC/SIGSOFT FSE2