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Genetic algorithm based software integration with minimum software risk

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journal contribution
posted on 2006-08-17, 10:00 authored by Lili Yang, B.F. Jones, Shuang-Hua Yang
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.

History

School

  • Science

Department

  • Computer Science

Pages

234276 bytes

Citation

YANG, JONES and YANG, 2006. Genetic algorithm based software integration with minimum software risk. Information & Software Technology, 48(3): pp. 133-141

Publisher

© Elsevier

Publication date

2006

Notes

This article was published in the journal, Information and Software Technology [© Elsevier] and is also available at: http://www.sciencedirect.com/science/journal/09505849.

ISSN

0950-5849

Language

  • en