Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/70777
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Type: Conference paper
Title: Evolving patches for software repair
Author: Ackling, T.
Alexander, B.
Grunert, I.
Citation: Proceedings of the 13th Annual Conference on Genetic and evolutionary computation (GECCO'11), 12-16 July, 2011, Dublin, Ireland: pp.1427-1434
Publisher: ACM
Publisher Place: Ireland
Issue Date: 2011
ISBN: 9781450305570
Conference Name: Genetic and Evolutionary Computation Conference (13th : 2011 : Dublin, Ireland)
Statement of
Responsibility: 
Thomas Ackling, Brad Alexander and Ian Grunert
Abstract: Defects are a major concern in software systems. Unsurprisingly, there are many tools and techniques to facilitate the removal of defects through their detection and localisation. However, there are few tools that attempt to repair defects. To date, evolutionary tools for software repair have evolved changes directly in the program code being repaired. In this work we describe an implementation: pyEDB, that encodes changes as a series of code modifications or patches. These modifications are evolved as individuals. We show pyEDB to be effective in repairing some small errors, including variable naming errors in Python programs. We also demonstrate that evolving patches rather than whole programs simplifies the removal of spurious errors.
Keywords: Debugging
fault-repair
genetic programming
Python
Rights: © ACM
DOI: 10.1145/2001576.2001768
Published version: http://dx.doi.org/10.1145/2001576.2001768
Appears in Collections:Aurora harvest 5
Computer Science publications

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