NDLI: Generating software architecture spectrum with multi-objective genetic algorithms

Content Provider	IEEE Xplore Digital Library
Author	Raiha, O. Koskimies, K. Makinen, E.
Copyright Year	2011
Description	Author affiliation: School of Information Sciences, University of Tampere, Finland (Makinen, E.) \|\| Department of Software Systems, Tampere University of Technology, Finland (Raiha, O.; Koskimies, K.)
Abstract	A possible approach to partly automated software architecture design is the application of heuristic search methods like genetic algorithms. However, traditional genetic algorithms use a single fitness function with weighted terms for different quality attributes. This is inadequate for software architecture design that has to satisfy multiple incomparable quality requirements simultaneously. To overcome this problem, the use of Pareto optimality is proposed. This technique is studied in the presence of two central quality attributes of software architectures, modifiability and efficiency. The technique produces a spectrum of architecture proposals, ranging from highly modifiable (and less efficient) to highly efficient (and less modifiable). The technique has been implemented and evaluated using an example system. The results demonstrate that Pareto optimality has potential for producing a sensible set of architectures in the efficiency-modifiability space.
Starting Page	29
Ending Page	36
File Size	571528
Page Count	8
File Format	PDF
ISBN	9781457711220
e-ISBN	9781457711244
DOI	10.1109/NaBIC.2011.6089413
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-19
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Software design Software architecture Computer architecture Pareto optimization Pareto optimality Multi-objective genetic algorithm Software Proposals Genetic algorithms Search-based software engineering
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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