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Distributed Computing and Artificial Intelligence, 13th International Conference pp 463–470Cite as

Improved Metrics Handling in SonarQube for Software Quality Monitoring

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 474))

Abstract

SonarQube platform is an open source initiative with the goal of assessing the quality of the software projects. Currently, contributors have focused on providing source code analysis functions essentially for Java-based projects. However, in certain domains Java is not the predominant language such as critical software projects in transport, avionics, or medical systems. This paper presents how to provide plugins to enhance the current capabilities of the platform in order to include coding rules analysis results from external tools; the platform is then enriched with the results of external tools.

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Author information

Authors and Affiliations

  1. Universidad Carlos III de Madrid, Madrid, Spain

    Javier García-Munoz, Marisol García-Valls & Julio Escribano-Barreno

  2. Indra Sistemas, S.A., Alcobendas, Spain

    Julio Escribano-Barreno

Authors
  1. Javier García-Munoz
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  2. Marisol García-Valls
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  3. Julio Escribano-Barreno
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Corresponding author

Correspondence to Marisol García-Valls .

Editor information

Editors and Affiliations

  1. Faculty of Engineering, Osaka Institute of Technology Faculty of Engineering, Osaka, Osaka, Japan

    Sigeru Omatu

  2. Faculty of Computer Science & Informatio, Universiti Teknologi Malaysia (UTM) Faculty of Computer Science & Informatio, Baharu, Malaysia

    Ali Semalat

  3. Department of Electronics and Compu, Koszalin University of Technology Department of Electronics and Compu, Koszalin, Poland

    Grzegorz Bocewicz

  4. Faculty of Electrical Engineering and Cs, Kielce University of Technology Faculty of Electrical Engineering and Cs, Kielce, Poland

    Paweł Sitek

  5. Faculty of Engineering and Science, Aalborg University Faculty of Engineering and Science, Aalborg, Denmark

    Izabela E. Nielsen

  6. ETS Ingeniería Informática, University of Sevilla ETS Ingeniería Informática, Sevilla, Spain

    Julián A. García García

  7. Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid Departamento de Inteligencia Artificial, Madrid, Spain

    Javier Bajo

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© 2016 Springer International Publishing Switzerland

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Cite this paper

García-Munoz, J., García-Valls, M., Escribano-Barreno, J. (2016). Improved Metrics Handling in SonarQube for Software Quality Monitoring. In: Omatu, S., et al. Distributed Computing and Artificial Intelligence, 13th International Conference. Advances in Intelligent Systems and Computing, vol 474. Springer, Cham. https://doi.org/10.1007/978-3-319-40162-1_50

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  • DOI: https://doi.org/10.1007/978-3-319-40162-1_50

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40161-4

  • Online ISBN: 978-3-319-40162-1

  • eBook Packages: EngineeringEngineering (R0)

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