Accuracy Comparison of Empirical Studies on Software Product Maintainability Prediction

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 746)

Abstract

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, which are identified from eight digital libraries and collected from 2000 to 2017. The present paper is targeted to present the various SPMP techniques used and reveals all about the experimental design of these studies.

Keywords

Software product maintainability Prediction techniques Accuracy criteria 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Software Project Management Research Team, ENSIASMohammed V UniversityRabatMorocco

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