Guiyuan Yuan, Q. Zeng, H. Duan, Wenyan Guo, Weijian Ni, N. Xie
{"title":"Multi-language description text automatic generation of BPMN process model","authors":"Guiyuan Yuan, Q. Zeng, H. Duan, Wenyan Guo, Weijian Ni, N. Xie","doi":"10.1145/3290420.3290471","DOIUrl":null,"url":null,"abstract":"BPMN abstractly expresses the complex structure and the role relationships of business process in a standardized way. Therefore, participants can achieve a consistent understanding of the process. However, there exist communication gap between domain expert and system analyst, as domain expert cannot fully understand process model and judge the rationality of the process model. The existing work only proposed single-language description generation of process model, considering that different domain experts may have different languages, we propose a multi-language description text automatic generation approach of BPMN process model. In the experiment, we evaluate the description text in term of completeness, consistency, complexity and readability.","PeriodicalId":259201,"journal":{"name":"International Conference on Critical Infrastructure Protection","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Critical Infrastructure Protection","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3290420.3290471","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
BPMN abstractly expresses the complex structure and the role relationships of business process in a standardized way. Therefore, participants can achieve a consistent understanding of the process. However, there exist communication gap between domain expert and system analyst, as domain expert cannot fully understand process model and judge the rationality of the process model. The existing work only proposed single-language description generation of process model, considering that different domain experts may have different languages, we propose a multi-language description text automatic generation approach of BPMN process model. In the experiment, we evaluate the description text in term of completeness, consistency, complexity and readability.