Learning Fault Localisation for Both Humans and Machines using Multi-Objective GP
Created by W.Langdon from
gp-bibliography.bib Revision:1.7970
- @InProceedings{Choi:2018:SSBSE,
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author = "Kabdo Choi and Jeongju Sohn and Shin Yoo",
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title = "Learning Fault Localisation for Both Humans and
Machines using Multi-Objective GP",
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booktitle = "SSBSE 2018",
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year = "2018",
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editor = "Thelma Elita Colanzi and Phil McMinn",
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volume = "11036",
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series = "LNCS",
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pages = "349--355",
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address = "Montpellier, France",
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month = "8-9 " # sep,
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming, SBSE, MOGP,
Fault localisation, FLUCCS, Multi-objective
evolutionary algorithm, NSGA-II",
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isbn13 = "978-3-319-99241-9",
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URL = "https://coinse.kaist.ac.kr/publications/pdfs/Choi2018aa.pdf",
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DOI = "doi:10.1007/978-3-319-99241-9_20",
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size = "6 pages",
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abstract = "Genetic Programming has been successfully applied to
fault localisation to learn ranking models that place
the faulty program element as near the top as possible.
However, it is also known that, when localisation
results are used by Automatic Program Repair (APR)
techniques, higher rankings of faulty program elements
do not necessarily result in better repair
effectiveness. Since APR techniques tend to use
localisation scores as weights for program mutation,
lower scores for non-faulty program elements are as
important as high scores for faulty program elements.
We formulate a multi-objective version of GP based
fault localisation to learn ranking models that not
only aim to place the faulty program element higher in
the ranking, but also aim to assign as low scores as
possible to non-faulty program elements. The results
show minor improvements in the suspiciousness score
distribution. However, surprisingly, the
multi-objective formulation also results in more
accurate fault localisation ranking-wise, placing 155
out of 386 faulty methods at the top, compared to 135
placed at the top by the single objective
formulation.",
- }
Genetic Programming entries for
Kabdo Choi
Jeongju Sohn
Shin Yoo
Citations