Quality Improvement of Requirements Specification via Automatically Created Object Oriented Models

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Please use this identifier to cite or link to this item: http://hdl.handle.net/1853/14345

Title: Quality Improvement of Requirements Specification via Automatically Created Object Oriented Models
Author: Popescu, Daniel
Abstract: In industry most software requirements specifications are written in natural language. Software analysts prefer natural language over formal languages because it increases the communication between all stakeholders. However, the downside is that natural language specifications are often imprecise and ambiguous. This paper explores whether natural language processing can help to reduce ambiguity and to increase precision in natural language specifications. To examine the possibilities of this approach, a CASE tool was implemented. The developed approach uses syntactical knowledge to build an object oriented analysis model. Since the automatically extracted diagram is smaller than the original specification and clearly visualized, it can enhance cognition. Therefore, a human can more easily find ambiguities tracing the defects back to the original specification. A case study illustrates and evaluates the developed approach.
Type: Technical Report
URI: http://hdl.handle.net/1853/14345
Date: 2006
Contributor: Georgia Institute of Technology. College of Computing
Relation: SCS Technical Report ; GIT-CSS-06-07
Publisher: Georgia Institute of Technology
Subject: Anaphora
Controlled grammar
Natural language specifications
Syntactical analysis

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