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Experiences with criticality predictions in software development

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Software Engineering — ESEC/FSE'97 (ESEC 1997, SIGSOFT FSE 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1301))

Abstract

Cost-effective software project management has the serious need to focus resources on those areas with highest criticality. The paper focuses on two areas important for practical application of criticality-based predictions in real projects, namely the selection of a classification technique and the use of the results in directing management decisions. The first part is comprehensively comparing and evaluating five common classification techniques (Pareto classification, classification trees, factor-based discriminant analysis, fuzzy classification, neural networks) for identifying critical components. Results from a current large-scale switching project are included to show practical benefits. Knowing which technique should be applied the second area gains even more attention: What are the impacts for practical project management within given resource and time constraints? Several selection criteria based on the results of a combined criticality and history analysis are provided together with potential decisions.

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Authors and Affiliations

  1. Alcatel Telecom, Antwerp, Belgium

    Christof Ebert

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  1. Christof Ebert
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Editor information

Mehdi Jazayeri Helmut Schauer

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© 1997 Springer-Verlag Berlin Heidelberg

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Ebert, C. (1997). Experiences with criticality predictions in software development. In: Jazayeri, M., Schauer, H. (eds) Software Engineering — ESEC/FSE'97. ESEC SIGSOFT FSE 1997 1997. Lecture Notes in Computer Science, vol 1301. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63531-9_20

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  • DOI: https://doi.org/10.1007/3-540-63531-9_20

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63531-4

  • Online ISBN: 978-3-540-69592-9

  • eBook Packages: Springer Book Archive

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