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Requirements Engineering

pp 1–20

First Online: 20 May 2017Received: 25 November 2016Accepted: 06 May 2017DOI: 10.1007-s00766-017-0270-1

Cite this article as: Lucassen, G., Robeer, M., Dalpiaz, F. et al. Requirements Eng 2017. doi:10.1007-s00766-017-0270-1

Abstract

Extracting conceptual models from natural language requirements can help identify dependencies, redundancies, and conflicts between requirements via a holistic and easy-to-understand view that is generated from lengthy textual specifications. Unfortunately, existing approaches never gained traction in practice, because they either require substantial human involvement or they deliver too low accuracy. In this paper, we propose an automated approach called Visual Narrator based on natural language processing that extracts conceptual models from user story requirements. We choose this notation because of its popularity among agile practitioners and its focus on the essential components of a requirement: Who? What? Why? Coupled with a careful selection and tuning of heuristics, we show how Visual Narrator enables generating conceptual models from user stories with high accuracy. Visual Narrator is part of the holistic Grimm method for user story collaboration that ranges from elicitation to the interactive visualization and analysis of requirements.

KeywordsUser stories Requirements engineering Conceptual modeling NLP Case study Conceptual model visualization 



Autor: Garm Lucassen - Marcel Robeer - Fabiano Dalpiaz - Jan Martijn E. M. van der Werf - Sjaak Brinkkemper

Fuente: https://link.springer.com/







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