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

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.




Suivez-nous sur





Avenue Mohammed Ben Abdallah Regragui, Madinat Al Irfane, BP 713, Agdal Rabat, Maroc

  Télécopie : (+212) 5 37 68 60 78

  Secrétariat de direction : 06 61 48 10 97

        Secrétariat général : 06 61 34 09 27

        Service des affaires financières : 06 61 44 76 79

        Service des affaires estudiantines : 06 62 77 10 17 /

        Résidences : 06 61 82 89 77



    Compteur de visiteurs:479,930
    Education - This is a contributing Drupal Theme
    Design by WeebPal.