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
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.