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On the use of calling structure information to improve fault prediction
North Carolina State University, United States .
AT and T Labs Research, United States .
AT and T Labs Research, United States .
Mälardalen University, School of Innovation, Design and Engineering. AT and T Labs Research, United States .ORCID iD: 0000-0002-1660-199X
2012 (English)In: Journal of Empirical Software Engineering, ISSN 1382-3256, E-ISSN 1573-7616, Vol. 17, no 4-5, 390-423 p.Article in journal (Refereed) Published
Abstract [en]

Previous studies have shown that software code attributes, such as lines of source code, and history information, such as the number of code changes and the number of faults in prior releases of software, are useful for predicting where faults will occur. In this study of two large industrial software systems, we investigate the effectiveness of adding information about calling structure to fault prediction models. Adding callingstructure information to a model based solely on non-calling structure code attributes modestly improved prediction accuracy. However, the addition of calling structure information to a model that included both history and non-calling structure code attributes produced no improvement.

Place, publisher, year, edition, pages
2012. Vol. 17, no 4-5, 390-423 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mdh:diva-23676DOI: 10.1007/s10664-011-9165-9ISI: 000304155700003Scopus ID: 2-s2.0-84863722432OAI: oai:DiVA.org:mdh-23676DiVA: diva2:680229
Available from: 2013-12-17 Created: 2013-12-17 Last updated: 2014-06-16Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
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Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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  • asciidoc
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