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General Information
    • ISSN: 2301-3559
    • Frequency: Quarterly
    • DOI: 10.18178/LNSE
    • Editor-in-Chief: Prof. Jemal Antidze
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET), DOAJ, Electronic Journals Library, Engineering & Technology Digital Library, Ulrich's Periodicals Directory, International Computer Science Digital Library (ICSDL), ProQuest and Google Scholar.
    • E-mail: lnse@ejournal.net
Editor-in-chief
Prof. Jemal Antidze
I. Vekua Scientific Institute of Applied Mathematics
Tbilisi State University, Georgia
I'm happy to take on the position of editor in chief of LNSE. We encourage authors to submit papers concerning any branch of Software Engineering.

LNSE 2014 Vol.2(4): 371-374 IS4SN: 2301-3559
DOI: 10.7763/LNSE.2014.V2.152

Multi-Objective Optimization of Software Architectures Using Ant Colony Optimization

Carsten Mueller
Abstract—In current practice, software architects try to find good solutions manually, which is time-consuming, error-prone and often lead to suboptimal designs. Architecture trade-off analysis methods are appropriate techniques to evaluate design decisions and design alternatives with respect to conflicting quality requirements. In this research article an automated approach guided by ant swam intelligence to search the design space for optimal solutions is proposed. This approach applied multi-objective ant colony optimization to the trade-off problem in the context of software architectures.

Index Terms—Trade-off, software architecture, multi-objective optimization, ant colony optimization.

Carsten Mueller is with the Informatics Department, University of Economics, 130 00 Prague CZ (e-mail: mueller@itg-research.net).

[PDF]

Cite: Carsten Mueller, "Multi-Objective Optimization of Software Architectures Using Ant Colony Optimization," Lecture Notes on Software Engineering vol. 2, no. 4, pp. 371-374, 2014.

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