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Assessing Software Quality through Web Comment Search and Analysis

  • Conference paper
Safe and Secure Software Reuse (ICSR 2013)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 7925))

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Abstract

When reusing software resources appearing on the Internet, developers often encounter the problem that it is hard to know the quality of candidate software. In this case, developers usually want to search and find referable user comment on the Internet. To assist this process, we proposed a textual comment based software quality assessment approach in this paper. It could search and collect the user comments of the software resource on the Internet automatically. Furthermore, the sentiment polarity (positive or negative) of a comment is identified and all the comments are classified into positive or negative collection. Then the quality aspects which the comment talks about are extracted so as to draw out the merits and drawbacks of software resources. With these information, developers can do candidate software selection easier and quicker in the software repository. To evaluate our approach, we apply our approach on a group of open source software. The results show that our approach could achieve satisfying precision in software quality assessment.

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Author information

Authors and Affiliations

  1. Software Institute, School of Electronics Engineering and Computer Science, Peking University, Beijing, 100871, China

    Yanzhen Zou, Yong Jin & Bing Xie

  2. Key Laboratory of High Confidence Software Technologies, Ministry of Education, Beijing, 100871, China

    Yanzhen Zou, Changsheng Liu & Yong Jin

Authors
  1. Yanzhen Zou
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  2. Changsheng Liu
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  3. Yong Jin
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  4. Bing Xie
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Editor information

Editors and Affiliations

  1. Intecs SpA, Via Umberto Forti 5, 56121, Pisa, Italy

    John Favaro

  2. Dipartimento di Automatica e Informatica, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Torino, Italy

    Maurizio Morisio

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Zou, Y., Liu, C., Jin, Y., Xie, B. (2013). Assessing Software Quality through Web Comment Search and Analysis. In: Favaro, J., Morisio, M. (eds) Safe and Secure Software Reuse. ICSR 2013. Lecture Notes in Computer Science, vol 7925. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38977-1_14

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  • DOI: https://doi.org/10.1007/978-3-642-38977-1_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38976-4

  • Online ISBN: 978-3-642-38977-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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