Architectures for Adaptive Software Systems: 5th by Raffaela Mirandola, Ian Gorton, Christine Hofmeister

By Raffaela Mirandola, Ian Gorton, Christine Hofmeister

This booklet constitutes the completely refereed court cases of the fifth overseas 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 overseas Symposium on part established software program Engineering (CBSE 2009). The thirteen revised complete papers have been conscientiously reviewed and chosen from 33 submissions. The papers are prepared in topical sections on model-driven caliber research, architectural functionality prediction, architectural wisdom, in addition to case reports and adventure studies.

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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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Developers need to add code into the generated skeletons. Sometimes even new classes not even present in the high-level artifact need to be added. Thus code in manual additions may diverge from design documents. Synchronization. Design documents and implementation may get out of sync, when the design documents are changed without subsequently generating the source code. The detection of inconsistencies is a first step towards fixing these problems. Existing approaches [4,3] are general but semi-automated.

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.

5 Based on whether they have SERVER _ DECLARED or CLIENT _ PROPAGATED priority model, they are grouped together in SCS and SCC as shown in Lines 7 and 9, respectively. Finally, for each set of components above, the algorithm minimizes the number of QoS policies in Line 12 subject to the condition in Line 13. This condition stipulates that if QoS policies of two (sets of) components a and b each indicated in the Algorithm by qpa and qpb , respectively, are similar (binary Boolean function ∼ = finds whether the policies are similar), then they are combined (indicated by ) leading to a reduction in the size of SQ1 .

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