O. Etzion, Fabiana Fournier, Inna Skarbovsky, B. Halle
{"title":"用于事件处理应用程序的模型驱动方法","authors":"O. Etzion, Fabiana Fournier, Inna Skarbovsky, B. Halle","doi":"10.1145/2933267.2933268","DOIUrl":null,"url":null,"abstract":"This paper presents The Event Model (TEM) as a means to design, develop, implement, and maintain event-driven applications. The friendly, yet rigorous, representation of the event logic in Excel-like tables makes the model accessible to people lacking IT skills. The Event Model follows the model driven engineering approach and can be classified as a CIM (Computation Independent Model). The goal is to strive for automatic transformation along with the model driven engineering. In this paper we provide a methodology to transform the CIM into a running event driven application. We demonstrate our methodology using an example taken from mobile phone fraud detection.","PeriodicalId":277061,"journal":{"name":"Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"A model driven approach for event processing applications\",\"authors\":\"O. Etzion, Fabiana Fournier, Inna Skarbovsky, B. Halle\",\"doi\":\"10.1145/2933267.2933268\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents The Event Model (TEM) as a means to design, develop, implement, and maintain event-driven applications. The friendly, yet rigorous, representation of the event logic in Excel-like tables makes the model accessible to people lacking IT skills. The Event Model follows the model driven engineering approach and can be classified as a CIM (Computation Independent Model). The goal is to strive for automatic transformation along with the model driven engineering. In this paper we provide a methodology to transform the CIM into a running event driven application. We demonstrate our methodology using an example taken from mobile phone fraud detection.\",\"PeriodicalId\":277061,\"journal\":{\"name\":\"Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2933267.2933268\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2933267.2933268","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A model driven approach for event processing applications
This paper presents The Event Model (TEM) as a means to design, develop, implement, and maintain event-driven applications. The friendly, yet rigorous, representation of the event logic in Excel-like tables makes the model accessible to people lacking IT skills. The Event Model follows the model driven engineering approach and can be classified as a CIM (Computation Independent Model). The goal is to strive for automatic transformation along with the model driven engineering. In this paper we provide a methodology to transform the CIM into a running event driven application. We demonstrate our methodology using an example taken from mobile phone fraud detection.