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An Alternative Solution to the Software Project Scheduling Problem

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Artificial Intelligence Perspectives in Intelligent Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 464))

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Abstract

Due to the competitiveness of the software industry a more stressful tasks for software project managers allocation of the human resources to the different tasks that perform the project. This is not an easy task and it is necessary that is computationally supported since every day projects are larger and these should be developed in the shortest time and possible costs. We propose to use a constructive metaheuristics called Intelligent Water Drops. In this paper the result are compared with another constructive metaheuristics obtaining promising performance.

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References

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Acknowledgments

The author Broderick Crawford is supported by grant CONICYT/FONDECYT/REGULAR/1140897 and Ricardo Soto is supported by grant CONICYT/FONDECYT/INICIACION/11130459.

Author information

Authors and Affiliations

  1. Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile

    Broderick Crawford, Ricardo Soto & Gino Astorga

  2. Universidad San Sebastián, Providencia, Chile

    Broderick Crawford & Eduardo Olguín

  3. Universidad Central de Chile, Santiago, Chile

    Broderick Crawford

  4. Universidad Autónoma de Chile, Temuco, Chile

    Ricardo Soto

  5. Universidad Cientifica del Sur, Lima, Peru

    Ricardo Soto

Authors
  1. Broderick Crawford
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  2. Ricardo Soto
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  3. Gino Astorga
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  4. Eduardo Olguín
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Corresponding author

Correspondence to Ricardo Soto .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Radek Silhavy

  2. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Roman Senkerik

  3. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Zuzana Kominkova Oplatkova

  4. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Petr Silhavy

  5. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Zdenka Prokopova

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© 2016 Springer International Publishing Switzerland

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Crawford, B., Soto, R., Astorga, G., Olguín, E. (2016). An Alternative Solution to the Software Project Scheduling Problem. In: Silhavy, R., Senkerik, R., Oplatkova, Z., Silhavy, P., Prokopova, Z. (eds) Artificial Intelligence Perspectives in Intelligent Systems. Advances in Intelligent Systems and Computing, vol 464. Springer, Cham. https://doi.org/10.1007/978-3-319-33625-1_45

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  • DOI: https://doi.org/10.1007/978-3-319-33625-1_45

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-33623-7

  • Online ISBN: 978-3-319-33625-1

  • eBook Packages: EngineeringEngineering (R0)

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