Formal Specification for Online Food Ordering System Using Z Language

P. Saratha, G. Uma, B. Santhosh
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引用次数: 8

Abstract

Natural Language Processing (NLP) directed to ambiguous representation for software requirements. Ambiguity at different levels creates different representation and meaning. This paper reduces the issues of ambiguity levels for the Software Requirements Specification (SRS) using formal methods. The end result shows the effectiveness in specifications through Z language. The Z specification is created for the commercial application of online food ordering system to improve the order details accuracy and efficiency. The stakeholder needs for food ordering system are gathered from the project goal. The system is designed using Unified Modeling Language (UML) illustration of use case diagram. The specification is created for the system behavior to remove the ambiguity. Along with this, Z/EVES tool is used for the evaluation of Z specifications for the demonstration.
Z语言在线订餐系统形式化规范
自然语言处理(NLP)针对软件需求的模糊表示。不同层次的歧义产生不同的表征和意义。本文使用形式化方法减少了软件需求规范(SRS)的歧义级别问题。最终结果表明了通过Z语言进行规范的有效性。Z规范是为在线订餐系统的商业应用而制定的,旨在提高订餐细节的准确性和效率。从项目目标中收集涉众对食品订购系统的需求。系统采用统一建模语言(UML)对用例图进行了说明。为系统行为创建规范是为了消除歧义。与此同时,Z/EVES工具用于评估演示的Z规范。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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