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Predicting Software Development Project Outcomes

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Case-Based Reasoning Research and Development (ICCBR 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2689))

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Abstract

Case-based reasoning is a flexible methodology to manage software development related tasks. However, when the reasoner’s task is prediction, there are a number of different CBR techniques that could be chosen to address the characteristics of a dataset. We examine several of these techniques to assess their accuracy in predicting software development project outcomes (i.e., whether the project is a success or failure) and identify critical success factors within our data. We collected the data from software developers who answered a questionnaire targeting a software development project they had recently worked on. The questionnaire addresses both technical and managerial features of software development projects. The results of these evaluations are compared with results from logistic regression analysis, which serves as a comparative baseline. The research in this paper can guide design decisions in future CBR implementations to predict the outcome of projects described with managerial factors.

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Authors and Affiliations

  1. College of Information Science & Technology, Drexel University, 3141 Chestnut Street Philadelphia, 19104, PA

    Rosina Weber, Michael Waller, June Verner & William Evanco

Authors
  1. Rosina Weber
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  2. Michael Waller
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  3. June Verner
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  4. William Evanco
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Editor information

Editors and Affiliations

  1. Learning Research and Development Center, University of Pittsburgh, 3939 O’Hara Street, 15260, Pittsburgh, PA, USA

    Kevin D. Ashley

  2. Department of Computer Science, University College Cork, The Kane Building, College Road, Cork, Ireland

    Derek G. Bridge

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Weber, R., Waller, M., Verner, J., Evanco, W. (2003). Predicting Software Development Project Outcomes. In: Ashley, K.D., Bridge, D.G. (eds) Case-Based Reasoning Research and Development. ICCBR 2003. Lecture Notes in Computer Science(), vol 2689. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45006-8_45

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  • DOI: https://doi.org/10.1007/3-540-45006-8_45

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40433-0

  • Online ISBN: 978-3-540-45006-1

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