A Capable Crossover Technique on Automatic Program Repair
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- @InProceedings{Kou:2016:IWESEP,
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author = "Ryotaro Kou and Yoshiki Higo and Shinji Kusumoto",
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booktitle = "2016 7th International Workshop on Empirical Software
Engineering in Practice (IWESEP)",
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title = "A Capable Crossover Technique on Automatic Program
Repair",
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year = "2016",
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pages = "45--50",
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month = mar,
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keywords = "genetic algorithms, genetic programming, genetic
improvement, APR",
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DOI = "doi:10.1109/IWESEP.2016.15",
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abstract = "In software development, debugging is indispensable to
guarantee the reliability. However, debugging is
becoming more difficult because software is becoming
larger and more complex. Thus, techniques for
supporting debugging, especially automatic program
repair techniques based on genetic programming
distinguish themselves due to their capability. Genetic
programming produces many modified programs by three
operations: selection, mutation, and crossover. In this
research, we focus on crossover that can bring a large
modification at one operation, and we are conducting
research on capable crossover by selecting several
modified programs not randomly but using the guidance
indicating their properties. In this paper, we propose
a new crossover technique based on comparing modified
programs' properties.",
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notes = "Also known as \cite{7464552}",
- }
Genetic Programming entries for
Ryotaro Kou
Yoshiki Higo
Shinji Kusumoto
Citations