Kai Werk

dblp:393/9530 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 1 · 1 since 2021

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
Debugging and program repair · 77% Software testing · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Debugging and program repair
automated program repair
0.812024
FixKit: A Program Repair Collection for Python · ASE 2024
Software testing
test suite
0.212024
FixKit: A Program Repair Collection for Python · ASE 2024

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

patch generation · 0.8fault localization · 0.8
YearPublicationVenuePosition
2024 FixKit: A Program Repair Collection for Python
abstract
In recent years, automatic program repair has gained much attention in the research community. Generally, program repair approaches consider a faulty program and a test suite that captures the program's intended behavior. The goal is automatically generating a patch that corrects the fault by identifying the faulty code locations, suggesting a candidate fix, and validating it against the provided tests. However, most existing program repair tools focus on Java or C programs, while Python, one of the most popular programming languages, lacks approaches that work on it.
Marius Smytzek, Martin Eberlein, Kai Werk, Lars Grunske, Andreas Zeller
ASE3