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From natural language business requirements to executable models via SBVR

机译：从自然语言业务需求到通过SBVR的可执行模型

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This paper presents a methodology for transforming business rules (BR) written in natural language (NL) such as English into a set of executable models as Unified Modeling Language (UML), Structured Query language (SQL), etc. As the direct automatic transformation of NL specifications to executable models is very difficult due to the inherent ambiguities of NL, this methodology aims at using the Semantics of Business Vocabulary and Business Rules (SBVR) as an intermediate model front-ended by Micro-Systemic Linguistic Analysis (MSLA) because of their mathematical underpinnings. SBVR is a Semantic Metamodel (SMM) introduced by the Object Management Group (OMG) for specifying semantic models of business using NL. SBVR is not only easy to process by machine since it is grounded in formal logic, but it is also easy to understand both by software developers and other stakeholders. Given that SBVR is fully integrated in OMG's Model Driven Architecture (MDA) and behaves as a Computational Independent Model (CIM), our approach advocates model transformation which is the key constituent of the MDA standard.
机译：本文提出了一种方法，可以将英语等自然语言（NL）编写的业务规则（BR）转换为一组可执行模型，如统一建模语言（UML），结构化查询语言（SQL）等。作为直接自动转换由于NL固有的歧义性，将NL规范转换为可执行模型非常困难，此方法旨在将业务词汇和业务规则语义（SBVR）用作微系统语言分析（MSLA）前端的中间模型，因为他们的数学基础。 SBVR是由对象管理组（OMG）引入的语义元模型（SMM），用于使用NL指定业务的语义模型。 SBVR不仅基于形式逻辑，它不仅易于通过机器进行处理，而且软件开发人员和其他利益相关者都易于理解。鉴于SBVR已完全集成在OMG的模型驱动体系结构（MDA）中，并且可充当计算独立模型（CIM），因此我们的方法提倡模型转换，这是MDA标准的关键组成部分。

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