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Modelling fault-proneness statistically over a sequence of releases: a case study
Responsible organisation
2001 (English)In: Journal of Software Maintenance and Evolution: Research and Practice, ISSN 1532-060X, E-ISSN 1532-0618, 167-199 p.Article in journal (Refereed) Published
Abstract [en]

Many of today's software systems evolve through a series of releases that add new functionality and features, in addition to the results of corrective maintenance. As the systems evolve over time it is necessary to keep track of and manage their problematic components. Our focus is to track system evolution and to react before the systems become difficult to maintain. To do the tracking, we use a method based on a selection of statistical techniques. In the case study we report here that had historical data available primarily on corrective maintenance, we apply the method to four releases of a system consisting of 130 components. In each release, components are classified as fault-prone if the number of defect reports written against them are above a certain threshold. The outcome from the case study shows stabilizing principal components over the releases, and classification trees with lower thresholds in their decision nodes. Also, the variables used in the classification trees' decision nodes are related to changes in the same files. The discriminant functions use more variables than the classification trees and are more difficult to interpret. Box plots highlight the findings from the other analyses. The results show that for a context of corrective maintenance, principal components analysis together with classification trees are good descriptors for tracking software evolution, Copyright (C) 2001 John Wiley gr Sons, Ltd.

Place, publisher, year, edition, pages
W SUSSEX: JOHN WILEY & SONS LTD , 2001. 167-199 p.
Keyword [en]
software evolution, fault-prone components, fault prediction, code decay, principal components analysis, classification trees, corrective maintenance
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-8150ISI: 000169821000002Local ID: oai:bth.se:forskinfoCBD06BDFDED261A0C12575B000211505OAI: oai:DiVA.org:bth-8150DiVA: diva2:835839
Available from: 2012-09-18 Created: 2009-05-08 Last updated: 2015-06-30Bibliographically approved

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Citation style
  • apa
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More styles
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  • de-DE
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  • nn-NO
  • nn-NB
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  • Other locale
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