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