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Author Afreen, Hina ♦ Bajwa, Imran Sarwar
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Natural Language ♦ Natural Language Software Specification ♦ Formal Language ♦ Automated Object Oriented Analysis ♦ Direct Translation ♦ Object-oriented Software Model ♦ Informal Nature ♦ Pivot Representation ♦ Actual Problem ♦ Semi-formal Medium ♦ Available Approach ♦ Software Model ♦ Object-oriented Model ♦ Presented Approach ♦ Accurate Analysis ♦ Natural Language Text ♦ Semi-formal Language ♦ Imprecise Object ♦ Recent Research ♦ Structured Business Vocabulary ♦ Software Requirement ♦ Software Requirement Specification
Abstract The currently available approaches for processing natural language (NL) software requirements specifications are semi-automatic and require user intervention. Moreover, these approaches result in less accurate and imprecise object oriented software models. Recent research in the area attributes the informal nature of natural languages for less accurate analysis of software requirements. On the basis of this axiom, we have identified that direct translation of a natural language to a formal language is the actual problem. In this paper, we propose that instead of direct translation of a natural language to a formal language, first, we will transform the natural language text to a semi-formal language that is not only simple and easy to translate to a formal language but also provides with higher accuracy. We have incorporated Structured Business Vocabulary and Rules (SBVR) language as the semi-formal medium in natural language to object-oriented models. The presented approach automatically generates the object-oriented software models from natural language software specifications using SBVR as a pivot representation.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study