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Dynamic Bugs Prioritization in Open Source Repositories with Evolutionary Techniques

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Search Based Software Engineering (SSBSE 2016)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 9962))

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Abstract

The bugs prioritization in open source repositories is considered an important and complex task. Mainly because, a lot of information about bugs changes over time and affects the prioritization process. Based on this dynamic characteristic, this work proposes a model to prioritize bugs as dynamic optimization problem. A preliminary empirical study was conduced comparing two dynamic evolutionary approaches and a static one. The achieved results demonstrated that a dynamic approach outperforms the static one in all evaluated scenarios.

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Notes

  1. 1.

    https://bugs.kde.org/

  2. 2.

    http://goes.uece.br/vanessaveloso/dobp

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Author information

Authors and Affiliations

  1. Optimization in Software Engineering Group, State University of Ceara, Doutor Silas Munguba Avenue, 1700, Fortaleza, 60.714-903, Brazil

    Vanessa Veloso, Thiago Oliveira, Altino Dantas & Jerffeson Souza

Authors
  1. Vanessa Veloso
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  2. Thiago Oliveira
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  3. Altino Dantas
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  4. Jerffeson Souza
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Corresponding author

Correspondence to Vanessa Veloso .

Editor information

Editors and Affiliations

  1. University College London, London, United Kingdom

    Federica Sarro

  2. Michigan State University , East Lansing, Michigan, USA

    Kalyanmoy Deb

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© 2016 Springer International Publishing AG

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Veloso, V., Oliveira, T., Dantas, A., Souza, J. (2016). Dynamic Bugs Prioritization in Open Source Repositories with Evolutionary Techniques. In: Sarro, F., Deb, K. (eds) Search Based Software Engineering. SSBSE 2016. Lecture Notes in Computer Science(), vol 9962. Springer, Cham. https://doi.org/10.1007/978-3-319-47106-8_28

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  • DOI: https://doi.org/10.1007/978-3-319-47106-8_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47105-1

  • Online ISBN: 978-3-319-47106-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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