In this paper, we propose to automatically derive conceptual models from a concise and widely adopted NL notation for requirements: user stories. Due to their ...

The purpose of this section is to select NLP heuristics that can be effectively employed to derive conceptual models from user stories. Page 3. TABLE I.

In this paper, we propose to automatically derive conceptual models from a concise and widely adopted NL notation for requirements: user stories. Due to their ...

The purpose of this section is to select NLP heuristics that can be effectively employed to derive conceptual models from user stories. 197. Page 3. TABLE I.

This paper proposes to automatically derive conceptual models from a concise and widely adopted NL notation for requirements: user stories, and presents an ...

May 20, 2017 · In this paper, we propose an automated approach called Visual Narrator based on natural language processing that extracts conceptual models from user story ...

Automated Extraction of Conceptual Models from User Stories via NLP. by Robeer, M.J., Lucassen, G., Werf, J.M.E.M. van der, Dalpiaz, F. and Brinkkemper, S ...

In this paper, we propose an automated approach called Visual Narra- tor based on natural language processing that extracts conceptual models from user story ...

Sep 2, 2020 · This paper presents a pipeline to automatically generate a goal model from a set of user stories by applying natural language processing (NLP) ...

We combine Visual Narrator with our other NLP tools. AQUSA and Interactive Narrator into the comprehen- sive Grimm method for conducting RE with user stories.