Using CBR for Semantic Analysis of Software Specifications

Authors

Abstract

Helping software designers in their task implies the development of tools with intelligent capabilities. One such capability is the integration of natural language understanding in CASE tools, thus improving the designer/tool communication. In this paper, we present a CBR approach for the generation of UML class diagrams from natural language text. This approach is implemented in a CASE tool, with the goal of helping the software designer create the first system model. We describe the natural language conversion module and give an overview
of the tool in which it is integrated. Experimental results for retrieval and adaptation mechanisms are also presented.

Keywords

CBR, NLP, UML

Subject

CBR for Natural Language Processing

Related Project

ReBuilder - Intelligent Reuse of Software Objects

Conference

European Conference on Case-Based Reasoning, August 2004