Genetic algorithm based software integration with minimum software risk

Authors:
L. Yang;B. F. Jones;S. H. Yang
Affiliations:
Computer Science Department, Loughborough University, Loughborough, LE11 3TU, UK;Applied Computing Department, University of Derby, Derby, DE22 1GB, UK;Computer Science Department, Loughborough University, Loughborough, LE11 3TU, UK
Venue:
Information and Software Technology
Year:
2006

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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.