DETECTING AND RESOLVING AMBIGUITY APPROACH IN REQUIREMENT SPECIFICATION: IMPLEMENTATION, RESULTS AND EVALUATION | ||
| International Journal of Intelligent Computing and Information Sciences | ||
| Article 3, Volume 18, Issue 1, January 2018, Pages 27-36 PDF (1011.72 K) | ||
| DOI: 10.21608/ijicis.2018.15909 | ||
| Authors | ||
| Somaia osama; Mostafa Aref | ||
| Computer Science Department, Faculty of Computer and Information Science, Ain Shams University Cairo, Egypt | ||
| Abstract | ||
| Requirements documentsare always written in natural language. At the point when a sentence can be understood diversely among various readersambiguity is happened [1]. In this paper, we illustrate an automated tool for detectingand resolvingambiguities thatcause a high risk of misunderstanding byseveralreaders and lead to confusion, waste of both effort and time and rework. Sentences in a natural language requirements specification document thathaveambiguity are initialdetected automatically from the text andambiguity type is determined. Sentences thatincludeambiguity are thenresolved automatically also by resolving algorithm based on a set of rules that we collected from training data. We implemented a tool for Detecting and Resolving Ambiguity (DARA), in order to clarifyand estimate our approach. The tool focuses on Lexical, Referential, Coordination, Scope and Vague ambiguity.We determine on the results of a collection of requirement specification documents to evaluatethe performance and utility of the approach. | ||
|
Statistics Article View: 714 PDF Download: 1,110 |
||
