Determination of Maintainability Index for Object Oriented Systems
ACM SIGSOFT Software Engineering Notes
Object-oriented class maintainability prediction using internal quality attributes
Information and Software Technology
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This paper presents ongoing work on using projection pursuit regression model to predict object-oriented software maintainability. The maintainability is measured as the number of changes made to code during a maintenance period by means of object-oriented software metrics. To evaluate the benefits of using PPR over nonlinear modeling techniques, we also build artificial neural network model, and multivariate adaptive regression splines model. The models performance is evaluated and compared using leave-one-out cross-validation with RMSE. The results suggest that PPR can predict more accurately than the other two modeling techniques. The study also provided the useful information on how to constructing software quality model.