Work

Automatic inference of code transforms for patch generation

Year: 2017

Type: conference-paper

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.

Source: ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE)

DOI: 10.1145/3106237.3106253

Authors: Fan Long, Peter Amidon, Martin Rinard

Institutions: Massachusetts Institute of Technology, University of California San Diego

Language: English

Topic: Software Engineering Research

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funder: Defense Advanced Research Projects Agency

Award: G2407417226