Qualitative Evaluation on Software Maintainability Prediction Models

Abstract

This paper introduces a qualitative approach to evaluate different maintainability prediction models. The goal of our study is to find the gaps available in maintainability prediction models by comparing them. This qualitative evaluation includes four parts: identify different models, plan evaluation criteria, analyze and interpret results, present the results. Results of the evaluation provide evidence that Artificial Neural Network models best suited for maintainability prediction based on selected criteria.