{"title":"来自2019年MiSE研讨会组织者的信息","authors":"","doi":"10.1109/mise.2019.00005","DOIUrl":null,"url":null,"abstract":"Welcome to the 11th Workshop on Modeling in Software Engineering (MiSE 2019), colocated with ICSE 2019 in Montreal, Canada. The goal of MiSE 2019 is to understand, through critical analysis, the current and future uses of models in the engineering of software-intensive systems. By fostering exchange of ideas between the MDE and software engineering communities, the MiSE-workshop series has continuously served as an effective forum for discussing modeling techniques from both software and systems engineering perspectives. We also hope to analyze successful applications of modeling techniques in relevant areas such as Cyber-Physical Systems, Internet of Things, Big and Smart Data, learning machines, and determine how the participants experience can be carried over to other domains.","PeriodicalId":340157,"journal":{"name":"2019 IEEE/ACM 11th International Workshop on Modelling in Software Engineering (MiSE)","volume":"82 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Message from the MiSE 2019 Workshop Organizers\",\"authors\":\"\",\"doi\":\"10.1109/mise.2019.00005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Welcome to the 11th Workshop on Modeling in Software Engineering (MiSE 2019), colocated with ICSE 2019 in Montreal, Canada. The goal of MiSE 2019 is to understand, through critical analysis, the current and future uses of models in the engineering of software-intensive systems. By fostering exchange of ideas between the MDE and software engineering communities, the MiSE-workshop series has continuously served as an effective forum for discussing modeling techniques from both software and systems engineering perspectives. We also hope to analyze successful applications of modeling techniques in relevant areas such as Cyber-Physical Systems, Internet of Things, Big and Smart Data, learning machines, and determine how the participants experience can be carried over to other domains.\",\"PeriodicalId\":340157,\"journal\":{\"name\":\"2019 IEEE/ACM 11th International Workshop on Modelling in Software Engineering (MiSE)\",\"volume\":\"82 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE/ACM 11th International Workshop on Modelling in Software Engineering (MiSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/mise.2019.00005\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE/ACM 11th International Workshop on Modelling in Software Engineering (MiSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/mise.2019.00005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Welcome to the 11th Workshop on Modeling in Software Engineering (MiSE 2019), colocated with ICSE 2019 in Montreal, Canada. The goal of MiSE 2019 is to understand, through critical analysis, the current and future uses of models in the engineering of software-intensive systems. By fostering exchange of ideas between the MDE and software engineering communities, the MiSE-workshop series has continuously served as an effective forum for discussing modeling techniques from both software and systems engineering perspectives. We also hope to analyze successful applications of modeling techniques in relevant areas such as Cyber-Physical Systems, Internet of Things, Big and Smart Data, learning machines, and determine how the participants experience can be carried over to other domains.