An exploratory study of object-oriented software component size determinants and the application of regression tree forecasting models

Authors:
Parag C. Pendharkar
Affiliations:
Information Systems, School of Business Administration, Pennsylvania State University at Harrisburg, 777 West Harrisburg Pike, Middletown, PA
Venue:
Information and Management
Year:
2004

Citing 32
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Abstract

Software component size estimation is an important task in software project management. For a component-based approach, two steps may be used to estimate the overall size of object-oriented (OO) software: a designer uses metrics to predict the size of the software components and then utilizes the sizes to estimate the overall project size. Using OO software metrics literature, we identified factors that may affect the size of an OO software component. Using real-life data from 152 software components, we then determined the effect of the identified factors on the prediction of OO software component size. The results indicated that certain factors and the type of OO software component play a significant role in the estimate. It is shown how a regression tree data mining approach can be used to learn decision rules to guide future estimates.