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.; Gnesi S.; Semini L.. - STAMPA. - 1266:(2020), pp. 488-498. (Intervento presentato al convegno 13th International Conference on the Quality of Information and Communications Technology, QUATIC 2020 nel 2020) [10.1007/978-3-030-58793-2_39].
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.I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.