Info%26Soft%20Tech%202006.pdf (251.08 kB)
Genetic algorithm based software integration with minimum software risk
journal contribution
posted on 2006-08-17, 10:00 authored by Lili Yang, B.F. Jones, Shuang-Hua YangThis 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 bytesCitation
YANG, JONES and YANG, 2006. Genetic algorithm based software integration with minimum software risk. Information & Software Technology, 48(3): pp. 133-141Publisher
© ElsevierPublication date
2006Notes
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
0950-5849Language
- en