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Stressing Search with Scenarios for Flexible Solutions to Real-Time Task Allocation Problems
University of York.
University of York.ORCID iD: 0000-0003-2415-8219
2010 (English)In: IEEE Transactions on Software Engineering, ISSN 0098-5589, Vol. 36, no 5, 704-718 p.Article in journal (Refereed) Published
Abstract [en]

One of the most important properties of a good software engineering process and of the design of the software it produces is robustness to changing requirements. Scenario-based analysis is a popular method for improving the flexibility of software architectures. This paper demonstrates a search-based technique for automating scenario-based analysis in the software architecture deployment view. Specifically, a novel parallel simulated annealing search algorithm is applied to the real-time task allocation problem to find baseline solutions which require a minimal number of changes in order to meet the requirements of potential upgrade scenarios. Another simulated annealing-based search is used for finding a solution that is similar to an existing baseline when new requirements arise. Solutions generated using a variety of scenarios are judged by how well they respond to different system requirements changes. The evaluation is performed on a set of problems with a controlled set of different characteristics.

Place, publisher, year, edition, pages
IEEE , 2010. Vol. 36, no 5, 704-718 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mdh:diva-23824DOI: 10.1109/TSE.2009.58ISI: 000282135000008Scopus ID: 2-s2.0-77957752779OAI: oai:DiVA.org:mdh-23824DiVA: diva2:682353
Available from: 2013-12-27 Created: 2013-12-19 Last updated: 2014-06-23Bibliographically approved

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