By Raffaela Mirandola, Ian Gorton, Christine Hofmeister

This ebook constitutes the completely refereed court cases of the fifth foreign convention at the caliber of software program Architectures, QoSA 2009, held in East Stroudsbury, PA, united states in June 2009, at the side of the twelfth foreign Symposium on part dependent software program Engineering (CBSE 2009). The thirteen revised complete papers have been conscientiously reviewed and chosen from 33 submissions. The papers are equipped in topical sections on model-driven caliber research, architectural functionality prediction, architectural wisdom, in addition to case experiences and adventure stories.

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Extra resources for Architectures for Adaptive Software Systems: 5th International Conference on the Quality of Software Architectures, QoSA 2009, East Stroudsburg, PA, USA, ... Programming and Software Engineering)

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Our AOP approach adds tracing code to the transformation program. Under transformation execution, information about the high-level entities is added to the Automated Architecture Consistency Checking for MDSD 41 generated low-level entities in the form of annotations in the generated Java code. These annotations are later processed by the low-level fact extractor. Fact Extraction from Low-level Artifacts. The low-level program structure is extracted from the Java source code. We reuse the existing fact extractor based on the VizzAnalyzer API.

1. In the second step, we use a clustering technique to complete the information of the analysis graph, cf. 2. In the third step, we use the complete analysis graph to find inconsistencies, cf. 3. 1 Analysis Graph Extraction The analysis graph is the central data structure of our approach for checking consistency, it is used in all major steps of the analysis process. The analysis graph contains only information relevant for solving the problem of consistency checking. It is a directed graph, consisting of two types of nodes and three types of edges.

Our solution is based on extending the Software Reflexion Model and tailoring it for the analysis of MDSD projects so we can automate it. As discussed, the MDSD process provides us with three different information sources, which can be associated with an input to the Software Reflexion Model: The high-level view of the Software Reflexion Model corresponds to the UML diagrams of MDSD, low-level view of the Software Reflexion Model corresponds to the source code of MDSD, and the mapping of the Software Reflexion Model corresponds to the transformation of MDSD.

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