Abstract
This paper describes 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. The main contribution of this study is that the software integration problem is formulated as a search problem and solved using a GA. A case study was based on an on-going software integration project carried out in the Derbyshire Fire Rescue Service, and is used to illustrate the application of the approach.
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© 2004 Springer-Verlag Berlin Heidelberg
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Yang, L., Jones, B.F. (2004). Assimilation Exchange Based Software Integration. In: Orchard, B., Yang, C., Ali, M. (eds) Innovations in Applied Artificial Intelligence. IEA/AIE 2004. Lecture Notes in Computer Science(), vol 3029. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24677-0_126
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DOI: https://doi.org/10.1007/978-3-540-24677-0_126
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22007-7
Online ISBN: 978-3-540-24677-0
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