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Software architecture optimization methods: A systematic literature review


Aleti, Aldeida; Buhnova, Barbora; Grunske, Lars; Koziolek, Anne; Meedeniya, Indika (2012). Software architecture optimization methods: A systematic literature review. IEEE Transactions on Software Engineering, PP(99):1.

Abstract

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.

Abstract

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.

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80 citations in Web of Science®
119 citations in Scopus®
216 citations in Microsoft Academic
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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Language:English
Date:2012
Deposited On:28 Jan 2013 15:55
Last Modified:17 Feb 2018 18:11
Publisher:Institute of Electrical and Electronics Engineers
ISSN:0098-5589
OA Status:Green
Publisher DOI:https://doi.org/10.1109/TSE.2012.64
Other Identification Number:merlin-id:7344

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