Integration of non-functional validation in Model-Driven Architecture is still far from being achieved, although it is ever more necessary in the development of modern software systems. In this paper we make a step ahead towards the adoption of such activity as a daily practice for software engineers all along the MDA process. We consider the Non-Functional MDA framework (NFMDA) that, beside the typical MDA model transformations for code generation, embeds new types of model transformations that allow the generation of quantitative models for non-functional analysis. We plug into the framework two methodologies, one for performance analysis and one for reliability assessment, and we illustrate the relationships between non-functional models and software models. For this aim, Computation Independent, Platform Independent and Platform Specific Models are also defined in the non-functional domains taken into consideration, that are performance and reliability.

Integrating performance and reliability analysis in a Non-Functional MDA framework

CORTELLESSA, VITTORIO;DI MARCO, ANTINISCA;INVERARDI, PAOLA
2007

Abstract

Integration of non-functional validation in Model-Driven Architecture is still far from being achieved, although it is ever more necessary in the development of modern software systems. In this paper we make a step ahead towards the adoption of such activity as a daily practice for software engineers all along the MDA process. We consider the Non-Functional MDA framework (NFMDA) that, beside the typical MDA model transformations for code generation, embeds new types of model transformations that allow the generation of quantitative models for non-functional analysis. We plug into the framework two methodologies, one for performance analysis and one for reliability assessment, and we illustrate the relationships between non-functional models and software models. For this aim, Computation Independent, Platform Independent and Platform Specific Models are also defined in the non-functional domains taken into consideration, that are performance and reliability.
978-3-540-71288-6
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11697/29807
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