Towards a Taxonomy of Software Maintainability Predictors: A Detailed View

TitreTowards a Taxonomy of Software Maintainability Predictors: A Detailed View
Publication TypeJournal Article
Year of Publication2022
AuthorsElmidaoui, S, Cheikhi, L, Idri, A, Abran, A
JournalLecture Notes in Networks and Systems
Volume470 LNNS
Pagination202-210
Abstract

To help practitioners and researchers choose the most suitable predictors when selecting from existing Software Product Maintainability Prediction (SPMP) models or designing new ones, a literature review of empirical studies on SPMP identified a large number of metrics or factors used as predictors of maintainability. However, there is a redundancy and ambiguity in both the naming and meaning of these predictors. To address this terminology issue, a one-level taxonomy of the SPMP predictors identified in the literature review have been proposed. This paper now proposes a more detailed two-level taxonomy where the first level refers to four categories, namely, software design, software size, quality attributes (or factors), and software process, the second to sub-categories, and predictors inventoried from empirical studies on SPMP. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85130308935&doi=10.1007%2f978-3-031-04829-6_18&partnerID=40&md5=e8e2d1411e399bbdb041c3d9d26ccad6
DOI10.1007/978-3-031-04829-6_18
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