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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/2308

Title: Genetic algorithm based software integration with minimum software risk
Authors: Yang, Lili
Jones, B.F.
Yang, Shuang-Hua
Keywords: Software inegration
Software risk
Genetic algorithms
Fire risk management
Issue Date: 2006
Publisher: © Elsevier
Citation: YANG, JONES and YANG, 2006. Genetic algorithm based software integration with minimum software risk. Information & Software Technology, 48(3): pp. 133-141
Abstract: This paper investigates an approach of integrating software with a minimum risk using Genetic Algorithms (GA). The problem was initially proposed by the need of sharing common software components among various departments within a same organization. Two significant contributions have been made in this study: (1) an assimilation exchange based software integration approach is proposed; (2) the software integration problem is formulated as a search problem and solved by using a GA. A case study is based on an on-going software integration project carried out in the Derbyshire Fire Rescue Service, and used to illustrate the application of the approach.
Description: This article was published in the journal, Information and Software Technology [© Elsevier] and is also available at: http://www.sciencedirect.com/science/journal/09505849.
URI: https://dspace.lboro.ac.uk/2134/2308
ISSN: 0950-5849
Appears in Collections:Published Articles (Computer Science)

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