Predicting software development project outcomes
Case-based reasoning is a flexible methodology to manage softwaredevelopment related tasks. However, when the reasoner’s task is prediction,there are a number of different CBR techniques that could be chosen to addressthe characteristics of a dataset. We examine several of these techniques toassess their accuracy in predicting software development project outcomes (i.e.,whether the project is a success or failure) and identify critical success factorswithin our data. We collected the data from software developers who answereda questionnaire targeting a software development project they had recentlyworked on. The questionnaire addresses both technical and managerial featuresof software development projects. The results of these evaluations are comparedwith results from logistic regression analysis, which serves as a comparativebaseline. The research in this paper can guide design decisions in future CBRimplementations to predict the outcome of projects described with managerialfactors.
Year of publication: |
2003
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Authors: | Weber, Rosina O. ; Waller, Michael ; Verner, June ; Evanco, William |
Publisher: |
Springer Verlag |
Saved in:
freely available
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