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A fuzzy inference system to recommend skills for source code review using eye movement data.

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Název: A fuzzy inference system to recommend skills for source code review using eye movement data.
Autoři: Chandrika, K.R., Amudha, J., Thampi, El-Alfy, Mitra, Trajkovic
Zdroj: Journal of Intelligent & Fuzzy Systems; 2018, Vol. 34 Issue 3, p1743-1754, 12p
Témata: EYE movements, SOURCE code review (Computer science), FUZZY logic, INFERENCE (Logic), COMPUTER software development
Abstrakt: A quality software development is inclined to the software developer skills. The research focus on recommending the skills of individuals based on the eye movement data. The paper sketches a study conducted on students who are future developers. A fuzzy based recommendation system was implemented to recommend two skills, code coverage and debugging skills that are primary in source code review. The code coverage inference system recommends individual code coverage as maximum, average and minimum and the debugging fuzzy inference system recommends debugging skills as skilled, unskilled and expert. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Intelligent & Fuzzy Systems is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Databáze: Complementary Index
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DbLabel: Complementary Index
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PubType: Academic Journal
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: A fuzzy inference system to recommend skills for source code review using eye movement data.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Chandrika%2C+K%2ER%2E%22">Chandrika, K.R.</searchLink><br /><searchLink fieldCode="AR" term="%22Amudha%2C+J%2E%22">Amudha, J.</searchLink><br /><searchLink fieldCode="AR" term="%22Thampi%22">Thampi</searchLink><br /><searchLink fieldCode="AR" term="%22El-Alfy%22">El-Alfy</searchLink><br /><searchLink fieldCode="AR" term="%22Mitra%22">Mitra</searchLink><br /><searchLink fieldCode="AR" term="%22Trajkovic%22">Trajkovic</searchLink>
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  Data: Journal of Intelligent & Fuzzy Systems; 2018, Vol. 34 Issue 3, p1743-1754, 12p
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22EYE+movements%22">EYE movements</searchLink><br /><searchLink fieldCode="DE" term="%22SOURCE+code+review+%28Computer+science%29%22">SOURCE code review (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22FUZZY+logic%22">FUZZY logic</searchLink><br /><searchLink fieldCode="DE" term="%22INFERENCE+%28Logic%29%22">INFERENCE (Logic)</searchLink><br /><searchLink fieldCode="DE" term="%22COMPUTER+software+development%22">COMPUTER software development</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: A quality software development is inclined to the software developer skills. The research focus on recommending the skills of individuals based on the eye movement data. The paper sketches a study conducted on students who are future developers. A fuzzy based recommendation system was implemented to recommend two skills, code coverage and debugging skills that are primary in source code review. The code coverage inference system recommends individual code coverage as maximum, average and minimum and the debugging fuzzy inference system recommends debugging skills as skilled, unskilled and expert. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Intelligent & Fuzzy Systems is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.3233/JIFS-169467
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 1743
    Subjects:
      – SubjectFull: EYE movements
        Type: general
      – SubjectFull: SOURCE code review (Computer science)
        Type: general
      – SubjectFull: FUZZY logic
        Type: general
      – SubjectFull: INFERENCE (Logic)
        Type: general
      – SubjectFull: COMPUTER software development
        Type: general
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      – TitleFull: A fuzzy inference system to recommend skills for source code review using eye movement data.
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            NameFull: Chandrika, K.R.
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            – D: 01
              M: 03
              Text: 2018
              Type: published
              Y: 2018
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              Value: 34
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