A Method of Ambiguity Detection in Requirement Specifications by Using a Knowledge Dictionary
Toshiharu KATO, Kazuhiko TSUDA · Procedia Computer Science · 2022
Early detection of ambiguities in requirement specifications is effective in reducing the occurrence of specification changes and construction period delays in later processes. However, it is not easy to detect ambiguities in requirement specifications written in natural language without knowledge or experience. In this paper, for detecting ambiguities in requirement specifications, we propose a method of using a knowledge dictionary constructed by focusing on transitive verbs and their objects in requirement specifications and documents that confirm their contents.