{"title":"实现真正的并行模型转换:分布式模式匹配方法","authors":"G. Mezei, T. Levendovszky, T. Mészáros, I. Madari","doi":"10.1109/EURCON.2009.5167663","DOIUrl":null,"url":null,"abstract":"In the recent years, software modeling became an essential part of designing large software systems. However, efficient model processing techniques are required, unless we use models only for documentation purposes. One way to improve efficiency is to apply model transformations in parallel. This paper introduces a truly parallel model transformation framework focusing on a new pattern matching approach. By using this new approach, the framework is now scalable and much more efficient than any parallel model transformation approach before.","PeriodicalId":256285,"journal":{"name":"IEEE EUROCON 2009","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Towards truly parallel model transformations: A distributed pattern matching approach\",\"authors\":\"G. Mezei, T. Levendovszky, T. Mészáros, I. Madari\",\"doi\":\"10.1109/EURCON.2009.5167663\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the recent years, software modeling became an essential part of designing large software systems. However, efficient model processing techniques are required, unless we use models only for documentation purposes. One way to improve efficiency is to apply model transformations in parallel. This paper introduces a truly parallel model transformation framework focusing on a new pattern matching approach. By using this new approach, the framework is now scalable and much more efficient than any parallel model transformation approach before.\",\"PeriodicalId\":256285,\"journal\":{\"name\":\"IEEE EUROCON 2009\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE EUROCON 2009\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EURCON.2009.5167663\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE EUROCON 2009","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EURCON.2009.5167663","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Towards truly parallel model transformations: A distributed pattern matching approach
In the recent years, software modeling became an essential part of designing large software systems. However, efficient model processing techniques are required, unless we use models only for documentation purposes. One way to improve efficiency is to apply model transformations in parallel. This paper introduces a truly parallel model transformation framework focusing on a new pattern matching approach. By using this new approach, the framework is now scalable and much more efficient than any parallel model transformation approach before.