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

Fantechi A;Gnesi S;
2020

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
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
978-3-030-58792-5
Natural Language Processing
Natural language requirements
Ambiguity
File in questo prodotto:
File Dimensione Formato  
prod_446396-doc_160490.pdf

accesso aperto

Descrizione: An experience with the application of three nlp tools for the analysis of natural language requirements
Tipologia: Versione Editoriale (PDF)
Dimensione 234.31 kB
Formato Adobe PDF
234.31 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/427050
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 4
  • ???jsp.display-item.citation.isi??? ND
social impact