Code Similarity and Location-Awareness Automatic Program Repair
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @Article{cao:2023:AS,
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author = "Heling Cao and Dong Han and Fangzheng Liu and
Tianli Liao and Chenyang Zhao and Jianshu Shi",
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title = "Code Similarity and {Location-Awareness} Automatic
Program Repair",
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journal = "Applied Sciences",
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year = "2023",
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volume = "13",
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number = "14",
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pages = "Article No. 8519",
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keywords = "genetic algorithms, genetic programming, genetic
improvement, APR",
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ISSN = "2076-3417",
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URL = "https://www.mdpi.com/2076-3417/13/14/8519",
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DOI = "doi:10.3390/app13148519",
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abstract = "Automatic program repair has drawn more and more
attention since software quality is facing increasing
challenges. In existing approaches, the unlimited
search space is considered to be the main limitation in
finding the correct patch. So how to reduce the search
space to improve the efficiency of automatic program
repair remains a problem to be solved. In this work, we
represent a similarity-based and
location-awareness-based automatic program repair
(SLARepair). SLARepair takes the similarity between
codes as important search information. The search space
is further subdivided by the location-awareness
strategy to improve search efficiency. In addition, to
better guide the search process, a new fitness function
is designed for genetic programming, which brings
notable improvements. Moreover, the patch verification
time is further reduced by using the test case
prioritization approach combined with test case
filtering. Extensive experiments demonstrate that our
SLARepair outperforms the state-of-the-art approaches
on the Defects4J benchmark and achieves competitive
performances.",
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notes = "also known as \cite{app13148519}",
- }
Genetic Programming entries for
Heling Cao
Dong Han
Fangzheng Liu
Tianli Liao
Chenyang Zhao
Jianshu Shi
Citations