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WorldCist'18 - 6th World Conference on Information Systems and Technologies

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Accuracy Comparison of Empirical Studies on Software Product Maintainability Prediction Techniques

Software maintainability is a very broad activity which ensures that the software product fulfills its changing requirements and enhancement capabilities once on the client side. Predicting software product maintainability contributes to the reduction of software product maintenance costs. In this perspective, many software product maintainability prediction (SPMP) techniques have been proposed in the literature. Some studies have empirically validated their proposed techniques while others have compared the accuracy of the SPMP techniques. This paper reviews a set of 29 studies, identified from eight digital libraries ranging from 2000-2017. The present paper is targeted to present the various SPMP techniques used and reveals all about the experimental design of these studies.

Sara ELMIDAOUI
Software Project Management Team, ENSIAS, Mohammed V University of Rabat
Morocco

Laila CHEIKHI
Software Project Management Team, ENSIAS, Mohammed V University of Rabat
Morocco

Ali IDRI
Software Project Management Team, ENSIAS, Mohammed V University of Rabat
Morocco

 

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