GEQUAMO-a generic, multilayered, customisable, software quality model

Article


Georgiadou, E. 2003. GEQUAMO-a generic, multilayered, customisable, software quality model. Software Quality Journal. 11 (4), pp. 313-323. https://doi.org/10.1023/A:1025817312035
TypeArticle
TitleGEQUAMO-a generic, multilayered, customisable, software quality model
AuthorsGeorgiadou, E.
Abstract

Software Quality Models have primarily been based on Top Down Process Improvement Approaches. Such models are based on the fundamental principle of empowerment of all involved and foster a questioning attitude through the active exchange of ideas and criticism ensuring that the most appropriate approach for quality improvements is adopted. The holistic view of systems enables the incorporation of many viewpoints held by different parties within the same organisation and by the same party at different stages of development. In this paper the GEQUAMO(GEneric, multi-layered and customisable) QUAlity MOdel is proposed. GEQUAMO encapsulates the requirements of different stakeholders in a dynamic and flexible manner so as to enable each stakeholder (developer, user or sponsor) to construct their own model reflecting the emphasis/weighting for each attribute/requirement. Using a combination of the CFD (Composite Features Diagramming Technique) developed by the author, and Kiviat diagrams a multi-layered and dynamic model is constructed. Instances of models are presented together with the algorithm for the computation of the profiles. Indications of future work conclude the paper.

Keywordssoftware quality model, multi-layer model, customisable model, profiling, stakeholders’ worldview
PublisherKluwer Academic Publishers
JournalSoftware Quality Journal
ISSN0963-9314
Publication dates
Print15 Dec 2003
Publication process dates
Deposited12 Apr 2019
Accepted01 Sep 2003
Output statusPublished
Copyright Statement

This is a pre-print of an article published in Software Quality Journal. The final authenticated version is available online at: https://doi.org/10.1023/A:1025817312035

Additional information

ESSN = 1573-1367

Digital Object Identifier (DOI)https://doi.org/10.1023/A:1025817312035
LanguageEnglish
First submitted version
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