Towards the improvement of natural language requirements descriptions: The C&&L tool

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

A natural language-based requirements specification tends to be full of requirements that are ambiguous, unnecessarily complicated, missing, wrong, duplicated or conflicting. Poor quality requirements often compromise the subsequent software construction activities (e.g. planning, design, coding or testing). A strategy for requirements quality evaluation should enable a faster requirements analysis, highlight defect indicators and incorporate also fix recommendations to help practitioners to effectively improve their requirements. In this paper we brief describe a Natural Language Processing and Petri-Net strategy for automated analysis of scenario-driven requirements named C&L prototype tool. The C&L evaluates structural (Static analysis) aspects of scenarios and behavioral aspects (Dynamic analysis) of equivalent Petri-Nets. The feasibility of the C&L is evaluated in four projects described as use cases, which indicates promising results (the overall precision was 93.5% and the recalls were perfect).

Idioma originalInglés
Título de la publicación alojada35th Annual ACM Symposium on Applied Computing, SAC 2020
EditorialAssociation for Computing Machinery
Páginas1405-1413
Número de páginas9
ISBN (versión digital)9781450368667
DOI
EstadoPublicada - 30 mar. 2020
Evento35th Annual ACM Symposium on Applied Computing, SAC 2020 - Brno, República Checa
Duración: 30 mar. 20203 abr. 2020

Serie de la publicación

NombreProceedings of the ACM Symposium on Applied Computing

Conferencia

Conferencia35th Annual ACM Symposium on Applied Computing, SAC 2020
País/TerritorioRepública Checa
CiudadBrno
Período30/03/203/04/20

Nota bibliográfica

Publisher Copyright:
© 2020 ACM.

Huella

Profundice en los temas de investigación de 'Towards the improvement of natural language requirements descriptions: The C&&L tool'. En conjunto forman una huella única.

Citar esto