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An Experience with the Application of Three NLP Tools for the Analysis of Natural Language Requirements

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Quality of Information and Communications Technology (QUATIC 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1266))

Abstract

We report on the experience made with three Natural Language Processing analysis tools, aimed to compare their performance in detecting ambiguity and under-specification in requirements documents, and to compare them with respect to other qualities like learnability, usability, and efficiency. Two industrial tools, Requirements Scout and QVscribe, and an academic one, QuARS, are compared.

Work partially funded by MIUR project PRIN 2017FTXR7S IT MaTTerS (Methods and Tools for Trustworthy Smart Systems).

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References

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Author information

Authors and Affiliations

  1. Dipartimento di Informatica, Università di Pisa, Pisa, Italy

    Monica Arrabito & Laura Semini

  2. Dipartimento di Ingegneria dell’Informazione, Università di Firenze, Florence, Italy

    Alessandro Fantechi

  3. Istituto di Scienza e Tecnologie dell’Informazione “A.Faedo” Consiglio Nazionale delle Ricerche, ISTI-CNR, Pisa, Italy

    Alessandro Fantechi, Stefania Gnesi & Laura Semini

Authors
  1. Monica Arrabito
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  2. Alessandro Fantechi
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  3. Stefania Gnesi
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  4. Laura Semini
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Corresponding author

Correspondence to Alessandro Fantechi .

Editor information

Editors and Affiliations

  1. Brunel University, London, UK

    Martin Shepperd

  2. Lisbon University Institute, Lisbon, Portugal

    Fernando Brito e Abreu

  3. University of Lisbon, Lisbon, Portugal

    Alberto Rodrigues da Silva

  4. University of Castilla-La Mancha, Talavera de la Reina, Spain

    Ricardo Pérez-Castillo

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Arrabito, M., Fantechi, A., Gnesi, S., Semini, L. (2020). An Experience with the Application of Three NLP Tools for the Analysis of Natural Language Requirements. In: Shepperd, M., Brito e Abreu, F., Rodrigues da Silva, A., Pérez-Castillo, R. (eds) Quality of Information and Communications Technology. QUATIC 2020. Communications in Computer and Information Science, vol 1266. Springer, Cham. https://doi.org/10.1007/978-3-030-58793-2_39

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  • DOI: https://doi.org/10.1007/978-3-030-58793-2_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-58792-5

  • Online ISBN: 978-3-030-58793-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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