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Software Architecture Optimization Methods: A Systematic Literature Review
May 2013 (vol. 39 no. 5)
pp. 658-683
Aldeida Aleti, Monash University, Australia
Barbora Buhnova, Masaryk University, Brno
Lars Grunske, University of Kaiserslautern, Kaiserslautern
Anne Koziolek, University of Zurich, Zurich
Indika Meedeniya, Swinburne University of Technology, Hawthorn
Due to significant industrial demands toward software systems with increasing complexity and challenging quality requirements, software architecture design has become an important development activity and the research domain is rapidly evolving. In the last decades, software architecture optimization methods, which aim to automate the search for an optimal architecture design with respect to a (set of) quality attribute(s), have proliferated. However, the reported results are fragmented over different research communities, multiple system domains, and multiple quality attributes. To integrate the existing research results, we have performed a systematic literature review and analyzed the results of 188 research papers from the different research communities. Based on this survey, a taxonomy has been created which is used to classify the existing research. Furthermore, the systematic analysis of the research literature provided in this review aims to help the research community in consolidating the existing research efforts and deriving a research agenda for future developments.
Index Terms:
Taxonomy,Computer architecture,Software,Software architecture,Systematics,Optimization methods,problem overview,Software architecture optimization,systematic literature review,optimization methods
Citation:
Aldeida Aleti, Barbora Buhnova, Lars Grunske, Anne Koziolek, Indika Meedeniya, "Software Architecture Optimization Methods: A Systematic Literature Review," IEEE Transactions on Software Engineering, vol. 39, no. 5, pp. 658-683, May 2013, doi:10.1109/TSE.2012.64
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