Building knowledge discovery-driven models for decision support in project management

Accurate estimations of software size in the early stages of a software project are critical in software project management because they lead to a good planning and reduce project costs. In this work, the relation between early software size measures as the function points and measures of the final...

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Bibliographic Details
Published in:Decision Support Systems 2004-11, Vol.38 (2), p.305-317
Main Authors: Moreno Garcı́a, Marı́a N., Quintales, Luis A.Miguel, Garcı́a Peñalvo, Francisco J., Polo Martı́n, M.José
Format: Article
Language:English
Subjects:
Association rules
Clustering
Data mining
Mathematical models
Project management
Software engineering
Software size estimation
Statistical analysis
Studies
Systems development
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Summary:Accurate estimations of software size in the early stages of a software project are critical in software project management because they lead to a good planning and reduce project costs. In this work, the relation between early software size measures as the function points and measures of the final product as the lines of code has been studied. A process to refine association rules, based on the generation of unexpected patterns, is proposed. The goal is to generate strong association rules between attributes that can be obtained early in the project and the final software size.
ISSN:0167-9236
1873-5797
DOI:10.1016/S0167-9236(03)00100-3