QMGenerator Framework and Knowledge Base for Software Quality Model-based

Youness BOUKOUCHI, Adil KHAMAL, Abdalaziz MARZAK, Hicham MOUTACHAOUIK

Abstract: The software quality plays a very important role in the success of the development of the software. To determine the software quality, several standards have been proposed and several quality models have been developed. During these years, thousands of software have been produced, and for each software, an approach and a model of software quality was used in the development cycle to ensure software quality, but unfortunately, today we do not have any trace of this cumulated experiments, which can be stored in a knowledge base to be shared later by all the members of the engineering software community. To solve this problem, we present in this article the QMGenerator Framework for software quality supporting the SQuaM approach, this Framework is endowed with a knowledge base exploiting the semantic technologies of the Web in particular RDF (S) which allows managing the models of software quality and sharing experiences and accumulated knowledge during the development cycle of the software.

Keywords: SQuaM, QMGenerator, Knowledge Base, RDF S, Ontology, software quality