Software architecture optimization methods: A systematic literature review

Aldeida Aleti, Barbora Buhnova, Lars Grunske, Anne Koziolek, Indika Meedeniya

    Research output: Contribution to journalArticleResearchpeer-review

    238 Citations (Scopus)

    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. 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.
    Original languageEnglish
    Article number6311410
    Pages (from-to)658 - 683
    Number of pages26
    JournalIEEE Transactions on Software Engineering
    Volume39
    Issue number5
    DOIs
    Publication statusPublished - 2013

    Keywords

    • Software architecture optimization
    • Systematic literature review
    • Optimization methods
    • Problem overview

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