A multi-objective optimization model of component selection in enterprise information system integration. (January 2018)

• Record Type: Journal Article
• Authors: Mu, Lifeng; Kwong, C.K.
• Is Part Of: Computers & industrial engineering. Volume 115(2018)
• Page Start: 278
• Page End: 289
• Publication Date: 2018-01
• Subjects: OR in software engineering -- Flexible IT architecture -- Enterprise information technologies -- Component selection -- Multiple objective programming; Engineering -- Data processing -- Periodicals; Industrial engineering -- Periodicals; 620.00285
• DOI: 10.1016/j.cie.2017.11.013
• Languages: English
• ISSNs: 0360-8352

Abstract

Highlights: Couplings and cohesions. IT architecture multi-objective optimization. Sensitive analysis. Abstract: Integrating legacy IT assets and new commercial software components together into a flexible IT architecture is one of open challenges facing modern enterprises today. Most of previous studies focused on using re-engineering to improve the flexibility of IT architectures, rather than employing optimization theory in architecture design problem, especially the problem of component selection and re-allocation in IT architecture. Moreover, a scant amount of literature is available on considering the architectural flexibility and integration cost simultaneously. To fill in this gap, based on a modified quantitative method of measuring the relationship between couplings and cohesions in architecture, we devise a nonlinear multi-objective binary integer programming to select components from legacy candidates and commercial candidates, and to group them into services under the service-oriented architecture (SOA) environment. The customized SPEA2 algorithm is further used to solve the problem, and some managerial insights are provided based on experiments and sensitivity analysis with the model.