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International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems

IEA/AIE 2004: Innovations in Applied Artificial Intelligence pp 1229–1238Cite as

Assimilation Exchange Based Software Integration

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3029))

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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Author information

Authors and Affiliations

  1. Applied Computing Department, the Derbyshire Business School, University of Derby, Derby, DE22 1GB, UK

    L. Yang & B. F. Jones

Authors
  1. L. Yang
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  2. B. F. Jones
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Editor information

Editors and Affiliations

  1. Institute for Information Technology, National Research Council of Canada, 1200 Montreal Read, M-50, K1A 0R6, Ottawa, Ontario, Canada

    Bob Orchard

  2. Institute for Information Technology, National Research Council, Canada

    Chunsheng Yang

  3. Department of Computer Science, Texas State University-San Marcos, Nueces 247, 601 University Drive, TX 78666-4616, San Marcos, USA

    Moonis Ali

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© 2004 Springer-Verlag Berlin Heidelberg

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Cite this paper

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

  • eBook Packages: Springer Book Archive

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