Authors: David Šenkýř and Petr Kroha

Affiliation: Faculty of Information Technology, Czech Technical University in Prague, Thákurova 9, 160 00 Prague 6 and Czech Republic

ISBN: 978-989-758-320-9

Keyword(s): Textual Requirements Specifications, Ambiguity, Inconsistency, Incompleteness, Glossary, Text Mining, Grammatical Inspection.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Requirements Engineering ; Symbolic Systems

Abstract: In this paper, we investigate methods of grammatical inspection to identify patterns in textual requirements specification. Unfortunately, a text in natural language includes additionally many inaccuracies caused by ambiguity, inconsistency, and incompleteness. Our contribution is that using our patterns, we are able to extract the information from the text that is necessary to fix some of the problems mentioned above. We present our implemented tool TEMOS that is able to detect some inaccuracies in a text and to generate fragments of the UML class model from textual requirements specification. We use external on-line resources to complete the textual information of requirements.

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Paper citation in several formats:
Šenkýř, D. and Kroha, P. (2018). Patterns in Textual Requirements Specification.In Proceedings of the 13th International Conference on Software Technologies - Volume 1: ICSOFT, ISBN 978-989-758-320-9, pages 197-204. DOI: 10.5220/0006827302310238

author={David Šenký\v{r}. and Petr Kroha.},
title={Patterns in Textual Requirements Specification},
booktitle={Proceedings of the 13th International Conference on Software Technologies - Volume 1: ICSOFT,},


JO - Proceedings of the 13th International Conference on Software Technologies - Volume 1: ICSOFT,
TI - Patterns in Textual Requirements Specification
SN - 978-989-758-320-9
AU - Šenkýř, D.
AU - Kroha, P.
PY - 2018
SP - 197
EP - 204
DO - 10.5220/0006827302310238

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