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.

An experience with the application of three nlp tools for the analysis of natural language requirements

Arrabito M.;Fantechi A.;Semini L.
2020-01-01

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.
2020
978-3-030-58792-5
978-3-030-58793-2
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1073847
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