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Empirical Software Engineering

Erschienen in:

01.08.2012

On the use of calling structure information to improve fault prediction

verfasst von: Yonghee Shin, Robert M Bell, Thomas J Ostrand, Elaine J Weyuker

Erschienen in: Empirical Software Engineering | Ausgabe 4-5/2012

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Abstract

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 calling structure 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.

Vorheriger Artikel Time variance and defect prediction in software projects

Nächster Artikel Analyzing and mining a code search engine usage log

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We also corrected a previous data error affecting four of the calling structure attributes in this paper. However, the overall conclusions remain the same as those observed in our earlier study.

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Titel: On the use of calling structure information to improve fault prediction
verfasst von: Yonghee Shin
Robert M Bell
Thomas J Ostrand
Elaine J Weyuker
Publikationsdatum: 01.08.2012
Verlag: Springer US
Erschienen in: Empirical Software Engineering / Ausgabe 4-5/2012
Print ISSN: 1382-3256
Elektronische ISSN: 1573-7616
DOI: https://doi.org/10.1007/s10664-011-9165-9

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