Title :
Using Model Transformation Semantics for Aspect Composition
Author :
Ajila, Samuel A. ; Petriu, Dorina ; Motshegwa, Pantanowitz
Author_Institution :
Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, ON, Canada
Abstract :
In this paper we present aspect composition using model transformation language - ATL. The aspects are represented as UML sequence diagrams. We propose and implement complete composition algorithm using three ATL transformation models - JoinPointsCount, Instantiate, and Compose. The JoinPointsCount transformation determines the number of join points in the primary (core system) model. The Instantiate transformation is used to instantiate generic aspect models in the context of the application using a set of binding rules defined in mark models to produce context specific aspect models. The Compose transformation then takes the primary model and context specific aspect model as inputs, and produces a composed (integrated) model.
Keywords :
Unified Modeling Language; formal specification; ATL transformation models; Compose; Instantiate; JoinPointsCount; UML sequence diagrams; aspect composition; binding rules; model transformation language; model transformation semantics; Adaptation model; Biological system modeling; Context; Context modeling; Software; Unified modeling language; Weaving; ATLAS transformation language; Aspect Composition; Ecore; Metamodel; Model Driven; Model Transformation;
Conference_Titel :
Semantic Computing (ICSC), 2010 IEEE Fourth International Conference on
Conference_Location :
Pittsburgh, PA
Print_ISBN :
978-1-4244-7912-2
Electronic_ISBN :
978-0-7695-4154-9
DOI :
10.1109/ICSC.2010.24