Please use this identifier to cite or link to this item: https://doi.org/10.1142/S0218194005002488
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dc.titleA Bayesian Network approach to rational architectural design
dc.contributor.authorZhang, H.
dc.contributor.authorJarzabek, S.
dc.date.accessioned2013-07-04T07:36:10Z
dc.date.available2013-07-04T07:36:10Z
dc.date.issued2005
dc.identifier.citationZhang, H., Jarzabek, S. (2005). A Bayesian Network approach to rational architectural design. International Journal of Software Engineering and Knowledge Engineering 15 (4) : 695-717. ScholarBank@NUS Repository. https://doi.org/10.1142/S0218194005002488
dc.identifier.issn02181940
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/39197
dc.description.abstractIn software architecture design, we explore design alternatives and make decisions about adoption or rejection of a design from a web of complex and often uncertain information. Different architectural design decisions may lead to systems that satisfy the same set of functional requirements but differ in certain quality attributes. In this paper, we propose a Bayesian Network based approach to rational architectural design. Our Bayesian Network helps software architects record and make design decisions. We can perform both qualitative and quantitative analysis over the Bayesian Network to understand how the design decisions influence system quality attributes, and to reason about rational design decisions. We use the KWIC (Key Word In Context) example to illustrate the principles of our approach. © World Scientific Publishing Company.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1142/S0218194005002488
dc.sourceScopus
dc.subjectAutomated design
dc.subjectBayesian network
dc.subjectKnowledge capture
dc.subjectKWIC
dc.subjectSoftware architecture design
dc.subjectSoftware quality
dc.typeArticle
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1142/S0218194005002488
dc.description.sourcetitleInternational Journal of Software Engineering and Knowledge Engineering
dc.description.volume15
dc.description.issue4
dc.description.page695-717
dc.description.codenISEKE
dc.identifier.isiut000232284100005
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