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| Content Provider | ACM Digital Library |
|---|---|
| Author | Koziolek, Anne Koziolek, Heiko Reussner, Ralf |
| Abstract | Designing software architectures that exhibit a good trade-off between multiple quality attributes is hard. Even with a given functional design, many degrees of freedom in the software architecture (e.g. component deployment or server configuration) span a large design space. In current practice, software architects try to find good solutions manually, which is time-consuming, can be error-prone and can lead to suboptimal designs. We propose an automated approach guided by architectural tactics to search the design space for good solutions. Our approach applies multi-objective evolutionary optimization to software architectures modelled with the Palladio Component Model. Software architects can then make well-informed trade-off decisions and choose the best architecture for their situation. To validate our approach, we applied it to the architecture models of two systems, a business reporting system and an industrial control system from ABB. The approach was able to find meaningful trade-offs leading to significant performance improvements or costs savings. The novel use of tactics decreased the time needed to find good solutions by up to 80%. |
| Starting Page | 33 |
| Ending Page | 42 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781450307246 |
| DOI | 10.1145/2000259.2000267 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2011-06-20 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Costs Architectural tactics Software architecture Multi-objective optimization Performance Reliability Optimization |
| Content Type | Text |
| Resource Type | Article |
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