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Mining unit test cases to synthesize API usage examples.

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Název: Mining unit test cases to synthesize API usage examples.
Autoři: Ghafari, Mohammad, Rubinov, Konstantin, Pourhashem K., Mohammad Mehdi
Zdroj: Journal of Software: Evolution & Process; Dec2017, Vol. 29 Issue 12, pn/a-N.PAG, 19p
Témata: APPLICATION program interfaces, TEXT mining, SOURCE code, COMPUTER software development, PROGRAMMING languages
Abstrakt: Software developers study and reuse existing source code to understand how to properly use application programming interfaces (APIs). However, manually finding sufficient and adequate code examples for a given API is a difficult and a time-consuming activity. Existing approaches to find or generate examples assume availability of a reasonable set of client code that uses the API. This assumption does not hold for newly released API libraries, non-widely used APIs, nor private ones. In this work we reuse the important information that is naturally present in test code to circumvent the lack of usage examples for an API when other sources of client code are not available. We propose an approach for automatically identifying the most representative API uses within each unit test case. We then develop an approach to synthesize API usage examples by extracting relevant statements representing the usage of such APIs. We compare the output of a prototype implementation of our approach to both human-written examples and to a state-of-the-art approach. The obtained results are encouraging; the examples automatically generated with our approach are superior to the state-of-the-art approach and highly similar to the manually constructed examples. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Software: Evolution & Process is the property of Wiley-Blackwell 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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  Data: Mining unit test cases to synthesize API usage examples.
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  Data: Journal of Software: Evolution & Process; Dec2017, Vol. 29 Issue 12, pn/a-N.PAG, 19p
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  Data: <searchLink fieldCode="DE" term="%22APPLICATION+program+interfaces%22">APPLICATION program interfaces</searchLink><br /><searchLink fieldCode="DE" term="%22TEXT+mining%22">TEXT mining</searchLink><br /><searchLink fieldCode="DE" term="%22SOURCE+code%22">SOURCE code</searchLink><br /><searchLink fieldCode="DE" term="%22COMPUTER+software+development%22">COMPUTER software development</searchLink><br /><searchLink fieldCode="DE" term="%22PROGRAMMING+languages%22">PROGRAMMING languages</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Software developers study and reuse existing source code to understand how to properly use application programming interfaces (APIs). However, manually finding sufficient and adequate code examples for a given API is a difficult and a time-consuming activity. Existing approaches to find or generate examples assume availability of a reasonable set of client code that uses the API. This assumption does not hold for newly released API libraries, non-widely used APIs, nor private ones. In this work we reuse the important information that is naturally present in test code to circumvent the lack of usage examples for an API when other sources of client code are not available. We propose an approach for automatically identifying the most representative API uses within each unit test case. We then develop an approach to synthesize API usage examples by extracting relevant statements representing the usage of such APIs. We compare the output of a prototype implementation of our approach to both human-written examples and to a state-of-the-art approach. The obtained results are encouraging; the examples automatically generated with our approach are superior to the state-of-the-art approach and highly similar to the manually constructed examples. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Software: Evolution & Process is the property of Wiley-Blackwell 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: 10.1002/smr.1841
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        Text: English
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        PageCount: 19
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      – SubjectFull: APPLICATION program interfaces
        Type: general
      – SubjectFull: TEXT mining
        Type: general
      – SubjectFull: SOURCE code
        Type: general
      – SubjectFull: COMPUTER software development
        Type: general
      – SubjectFull: PROGRAMMING languages
        Type: general
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      – TitleFull: Mining unit test cases to synthesize API usage examples.
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            NameFull: Ghafari, Mohammad
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            NameFull: Rubinov, Konstantin
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            NameFull: Pourhashem K., Mohammad Mehdi
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              M: 12
              Text: Dec2017
              Type: published
              Y: 2017
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