A survey of empirical studies in software product maintainability prediction models

TitreA survey of empirical studies in software product maintainability prediction models
Publication TypeConference Paper
Year of Publication2016
AuthorsElmidaoui, S, Cheikhi, L, Idri, A
Conference NameSITA 2016 - 11th International Conference on Intelligent Systems: Theories and Applications
Abstract

Software product maintainability is critical to the achievement of the software product quality. In order to keep the software useful as long as possible, software product maintainability prediction (SPMP) has become an important endeavor. The objective of this paper is to identify and present the current research on SPMP. The search was conducted using digital libraries to And as much research papers as possible. Selected papers are classified according to the following survey classification criteria (SCs): research type, empirical type, publication year and channel. Based on the results of the survey, we provide a discussion of the current state of the art in software maintainability prediction models or techniques. We believe that this study will be a reliable basis for further research in software maintainability studies. © 2016 IEEE.

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85010468522&doi=10.1109%2fSITA.2016.7772267&partnerID=40&md5=8184d51d9fbbba990544f8dc158d2375
DOI10.1109/SITA.2016.7772267
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