The DOI matches its Crossref record; 254 of the 254 references it cites were found in a registry or an index.
Software Architecture Optimization Methods: A Systematic Literature Review
Open accessAbstract
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.
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Items 201–254 of 254
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Cited by
Sorted by citations
Ampatzoglou, A., Bibi, S., Avgeriou, P., Verbeek, M., & Chatzigeorgiou, A. (2019) · Information and Software Technology · doi:10.1016/j.infsof.2018.10.006 · Cited by 305
Software Architecture in Practice: Challenges and Opportunities
Wan, Z., Zhang, Y., Xia, X., Jiang, Y., & Lo, D. (2023) · Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering · doi:10.1145/3611643.3616367 · Cited by 30
“…studies have put effort into developing methods and tools for architecture representation and documentation [15, 38], analysis and evaluation [41, 73], recovery and optimization [2, 30, 54], as well as knowledge management and decision making [16, 100] to support software architecture practice.”
Method
Metadata
- Authors
- Aleti, A., Buhnova, B., Grunske, L., Koziolek, A., & Meedeniya, I.
- Affiliations
- Monash University (AU)
- University of Kaiserslautern (DE)
- University of Zurich (CH)
- Swinburne University of Technology (AU)
- Venue
- IEEE Transactions on Software Engineering
- Published
- 2013-05
- Volume
- 39
- Issue
- 5
- Pages
- 658-683
- ISSN
- 0098-5589 (ISSN-L)
- 1939-3520
- OpenAlex
- W2023331046
- Cited by
- 293
- References
- 254
- Citations by year
- 2026: 4 · 2025: 18 · 2024: 8 · 2023: 19 · 2022: 17 · 2021: 18 · 2020: 18 · 2019: 18 · 2018: 28 · 2017: 34 · 2016: 34 · 2015: 30 · 2014: 28 · 2013: 19
- FWCI
- 6.96
- Type
- journal article
- Language
- en
- Open access
- green
- www.zora.uzh.ch
- Locations
- IEEE Transactions on Software Engineering (publishedVersion)
- Swinburne figshare (Swinburne University of Technology) (submittedVersion)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion, other-oa)
- Topics
- Physical Sciences › Computer Science › Software › Advanced Software Engineering Methodologies
- Physical Sciences › Computer Science › Software › Model-Driven Software Engineering Techniques
- Physical Sciences › Computer Science › Computer Networks and Communications › Software System Performance and Reliability
- Keywords
- software architecture optimization, automated architecture design, quality attributes, research agenda
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