By Raffaela Mirandola, Ian Gorton, Christine Hofmeister
This publication constitutes the completely refereed complaints of the fifth foreign convention at the caliber of software program Architectures, QoSA 2009, held in East Stroudsbury, PA, united states in June 2009, along side the twelfth foreign Symposium on part established software program Engineering (CBSE 2009). The thirteen revised complete papers have been rigorously 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 experiences.
Read or Download Architectures for Adaptive Software Systems: 5th International Conference on the Quality of Software Architectures, QoSA 2009, East Stroudsburg, PA, USA, ... Programming and Software Engineering) PDF
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Additional info 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)
Se Abstract. When software projects evolve their actual implementation and their intended architecture may drift apart resulting in problems for further maintenance. As a countermeasure it is good software engineering practice to check the implementation against the architectural description for consistency. In this work we check software developed by a Model Driven Software Development (MDSD) process. This allows us to completely automate consistency checking by deducing information from implementation, design documents, and model transformations.
The low-level fact extractor not only extracts the low-level dependency graph, but also the mapping information from the annotated source code. As explained before, annotations are inserted into the Java code whenever a transformation rule is executed. The content of the annotation includes the name of the high-level entity that is connected to this transformation rule. The full annotation consists of a comment in the appropriate low-level language and the name of the high-level entity. By putting the information in a comment, we ensure that the functionality of the source code is not modiﬁed.
In general, these approaches employ an abstract model of the structure of a software system, which consists of its basic entities such as functions, classes or ﬁles and relationships between them such as dependencies. Clustering is used to group related entities of the software system into subsystem [28,1,27]. Algorithms try to minimize the inter-cluster dependencies and maximizing the intra-cluster dependencies. The idea is to optimize low coupling and high cohesion for good subsystem decomposition .