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Peter Amidon

dblp:182/1755 · DBLP profile ↗
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1ranked-venue papers
0as 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

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 · 100%

Topics — the 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Debugging and program repair › automated program repair
automated patch generation		 0.312017
Automatic inference of code transforms for patch generation · ESEC/SIGSOFT FSE 2017

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

patch mining · 0.3
YearPublicationVenuePosition
2017 Automatic inference of code transforms for patch generation
abstract
We present a new system, Genesis, that processes human patches to automatically infer code transforms for automatic patch generation. We present results that characterize the effectiveness of the Genesis inference algorithms and the complete Genesis patch generation system working with real-world patches and defects collected from 372 Java projects. To the best of our knowledge, Genesis is the first system to automatically infer patch generation transforms or candidate patch search spaces from previous successful patches.
Fan Long, Peter Amidon, Martin C. Rinard
 ESEC/SIGSOFT FSE2