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1 LASSY - Laboratory of Advanced Software SYstems Luxembourg 2 TRISKELL - Reliable and efficient component based software engineering IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique 3 Department of Computer Science - Trinity College Dublin

Abstract : In Model-Driven Software Development MDSD, models represent views of software at different levels of abstraction and transformations specify refinements from one level of abstraction to another. Aspect Oriented Modelling AOM complements MDSD by extending the decomposition capabilities with separation of concerns at the same level of abstraction. Using transformations in software development has many benefits, but when an error is introduced into a model, it is propagated to later refinements. Such propagation makes it harder to trace errors to their source and consequently more difficult to correct. Concern models reduce the scope for error propagation as errors are localised. However, to ensure that errors are not propagated between concern models at different levels of abstraction, a technique for detecting errors in concern models is required. In this paper we present KerTheme, an approach to supporting error detection in AO models through testing. In KerTheme, testing is supported by defining two views of a concern: an executable model and a model of its expected behaviour. The testing process consists of checking the consistency between a trace from executing the concern model and the expected behaviour of the concern.





Author: Jacques Klein - Benoit Baudry - Olivier Barais - Andrew Jackson -

Source: https://hal.archives-ouvertes.fr/



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