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Application of Computational Linguistics Techniques for Improving Software Quality

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Product-Focused Software Process Improvement (PROFES 2019)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 11915))

Abstract

Progress in Artificial Intelligence, Big Data and Computational Linguistics domains offered new way to perform n-depth analysis and evidence-based quality assessments of open source software components. In this paper we will see how this can be integrated into industrial development to improve the quality of developed software.

Supported by the European Unions Horizon 2020 Research and Innovation Programme.

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References

  1. Boudeffa, A., Bagnato, A., Abherve, A., Di Ruscio, D., Mateus, M., Almeida, B.: Integrating and deploying heterogeneous components by means of a microservice architecture in the CROSSMINER project. STAF-CE 1(5), 61–66 (2019)

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  2. Bagnato, A., et al.: Developer-centric knowledge mining from large open-source software repositories (CROSSMINER). In: Seidl, M., Zschaler, S. (eds.) STAF 2017. LNCS, vol. 10748, pp. 375–384. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-74730-9_33

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  3. Edge Hill University: D3.4 Natural Language Components, 27 December 2017 Final

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Acknowledgments

The research described has been carried out as part of the CROSSMINER Project, which has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement No. 732223.

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Authors and Affiliations

  1. Softeam, Paris, France

    Amin Boudeffa, Antonin Abherve & Alessandra Bagnato

  2. OW2, Paris, France

    Cedric Thomas, Martin Hamant & Assad Montasser

Authors
  1. Amin Boudeffa
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  2. Antonin Abherve
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  3. Alessandra Bagnato
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  4. Cedric Thomas
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  5. Martin Hamant
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  6. Assad Montasser
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Corresponding author

Correspondence to Amin Boudeffa .

Editor information

Editors and Affiliations

  1. Universitat Politècnica de Catalunya, Barcelona, Spain

    Xavier Franch

  2. University of Helsinki, Helsinki, Finland

    Tomi Männistö

  3. Fraunhofer Institute for Experimental Software Engineering, Kaiserslautern, Germany

    Silverio Martínez-Fernández

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Boudeffa, A., Abherve, A., Bagnato, A., Thomas, C., Hamant, M., Montasser, A. (2019). Application of Computational Linguistics Techniques for Improving Software Quality. In: Franch, X., Männistö, T., Martínez-Fernández, S. (eds) Product-Focused Software Process Improvement. PROFES 2019. Lecture Notes in Computer Science(), vol 11915. Springer, Cham. https://doi.org/10.1007/978-3-030-35333-9_41

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  • DOI: https://doi.org/10.1007/978-3-030-35333-9_41

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-35332-2

  • Online ISBN: 978-3-030-35333-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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