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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 .
Mälardalens högskola, Akademin för innovation, design och teknik. AT and T Labs Research, United States .ORCID-id: 0000-0002-1660-199X
2012 (engelsk)Inngår i: Journal of Empirical Software Engineering, ISSN 1382-3256, E-ISSN 1573-7616, Vol. 17, nr 4-5, s. 390-423Artikkel i tidsskrift (Fagfellevurdert) 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.

sted, utgiver, år, opplag, sider
2012. Vol. 17, nr 4-5, s. 390-423
HSV kategori
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URN: urn:nbn:se:mdh:diva-23676DOI: 10.1007/s10664-011-9165-9ISI: 000304155700003Scopus ID: 2-s2.0-84863722432OAI: oai:DiVA.org:mdh-23676DiVA, id: diva2:680229
Tilgjengelig fra: 2013-12-17 Laget: 2013-12-17 Sist oppdatert: 2017-12-06bibliografisk kontrollert

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