A CONTROLLED NATURAL LANGUAGE INTERFACE TO CLASS MODELS
The available approaches for automatically generating class models from natural language (NL) software requirements specifications (SRS) exhibit less accuracy due to informal nature of NL such as English. In the automated class model generation, a higher accuracy can be achieved by overcoming the inherent syntactic ambiguities and semantic inconsistencies in English. In this paper, we propose a SBVR based approach to generate an unambiguous representation of NL software requirements. The presented approach works as the user inputs the English specification of software requirements and the approach processes input English to extract SBVR vocabulary and generate a SBVR representation in the form of SBVR rules. Then, SBVR rules are semantically analyzed to extract OO information and finally OO information is mapped to a class model. The presented approach is also presented in a prototype tool NL2SBVRviaSBVR that is an Eclipse plugin and a proof of concept. A case study has also been solved to show that the use of SBVR in automated generation of class models from NL software requirements improves accuracy and consistency.
Natural Language Interface Controlled Natural Language Natural Language Processing Class Mode lAutomated Object Oriented Analysis SBVR
Imran Sarwar Bajwa M. Asif Naeem Ahsan Ali Chaudhri Shahzad Ali
School of Computer Science, The University of Birmingham, Edgbaston, Birmingham, U.K. Department of Computer Science,University of Auckland, Auckland, New Zealand Director of Academic Programs, Queens Academic Group, Auckland, New Zealand Department of Computer Science and Engineering, University of Electronic Science & Technology, Cheng
国际会议
13th International Conference on Enterprise Information System(第13届企业信息系统国际会议 ICEIS 2011)
北京
英文
2571-2579
2011-06-08（万方平台首次上网日期，不代表论文的发表时间）