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Planning Global Software Development Projects Using Genetic Algorithms

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Search Based Software Engineering (SSBSE 2013)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8084))

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Abstract

Planning a Global Software Development project is a challenging task, as it involves balancing both technical and business related issues. On the other hand, the selected software architecture also influences the distributed development, making the separate development of components either easier or more difficult. This kind of planning problem with multiple variables is difficult to solve using deterministic methods. In this work, we propose an approach based on genetic algorithms for planning global software projects.

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Author information

Authors and Affiliations

  1. Department of Pervasive Computing, Tampere University of Technology, Tampere, Finland

    Sriharsha Vathsavayi, Outi Sievi-Korte, Kai Koskimies & Kari Systä

Authors
  1. Sriharsha Vathsavayi
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  2. Outi Sievi-Korte
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  3. Kai Koskimies
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  4. Kari Systä
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Editor information

Editors and Affiliations

  1. University of Calgary, 2500 University Drive NW, T2N 1N4, Calgary, AB, Canada

    Günther Ruhe

  2. Department of Computer Science, University Colleage London, Gower Street, WC1E 6BT, London, UK

    Yuanyuan Zhang

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Vathsavayi, S., Sievi-Korte, O., Koskimies, K., Systä, K. (2013). Planning Global Software Development Projects Using Genetic Algorithms. In: Ruhe, G., Zhang, Y. (eds) Search Based Software Engineering. SSBSE 2013. Lecture Notes in Computer Science, vol 8084. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39742-4_23

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  • DOI: https://doi.org/10.1007/978-3-642-39742-4_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39741-7

  • Online ISBN: 978-3-642-39742-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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