期刊论文详细信息
IEEE Access
The Semantic of Business Vocabulary and Business Rules: An Automatic Generation From Textual Statements
Abdellatif Haj1  Taoufiq Gadir1  Youssef Balouki1  Abdessamd Jarrar1 
[1] Department of Maths, Laboratory of Mathematics, Computer and Engineering Sciences, Faculty of Sciences and Techniques, Hassan I University, Settat, Morocco;
关键词: Business rules;    business vocabulary;    SBVR;    model transformation;    MDA;    natural language processing;   
DOI  :  10.1109/ACCESS.2021.3071623
来源: DOAJ
【 摘 要 】

In the early phases of the software development process, specifications are mostly written in a natural language rather than formal models, which is not supported by the Model Driven Architecture (MDA). For this reason, the Semantic of Business Vocabulary and Rules (SBVR) is proposed by the Object Management Group to represent the textual specifications in a language comprehensible by both of humans and machines, to facilitate its integration in the MDA lifecycle. However, businesspeople are usually not familiar with SBVR standard. In this paper we present an approach to automatically transform textual business rules to an SBVR model, to facilitate its integration in nowadays information technology infrastructures. Our approach is distinguished from existing works in that it uses an in-depth Natural Language Processing to extract a more comprehensible SBVR model that includes the semantic formulation of each business rule statement, coupled with a Terminological Dictionary of extracted concepts, to which we have added further specifications such as definitions and synonyms. The evaluation of our approach shows that for three sets of business rules statements taken from different domains, we could generate the correct meaning with an average of F1-score exceeding 87%.

【 授权许可】

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