Genetic algorithm based software integration with minimum software risk
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: (I),in 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. (c) 2005 Elsevier B.V. All rights reserved.
genetic algorithm software integration software risk fire risk management