{"title":"COP中的事件驱动适应","authors":"P. Degano, G. Ferrari, Letterio Galletta","doi":"10.4204/EPTCS.211.4","DOIUrl":null,"url":null,"abstract":"Context-Oriented Programming languages provide us with primitive constructs to adapt program behaviour depending on the evolution of their operational environment, namely the context. In previous work we proposed ML_CoDa, a context-oriented language with two-components: a declarative constituent for programming the context and a functional one for computing. This paper describes an extension of ML_CoDa to deal with adaptation to unpredictable context changes notified by asynchronous events.","PeriodicalId":53164,"journal":{"name":"Journal of Historic Buildings and Places","volume":"41 1","pages":"37-45"},"PeriodicalIF":0.1000,"publicationDate":"2016-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Event-driven Adaptation in COP\",\"authors\":\"P. Degano, G. Ferrari, Letterio Galletta\",\"doi\":\"10.4204/EPTCS.211.4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Context-Oriented Programming languages provide us with primitive constructs to adapt program behaviour depending on the evolution of their operational environment, namely the context. In previous work we proposed ML_CoDa, a context-oriented language with two-components: a declarative constituent for programming the context and a functional one for computing. This paper describes an extension of ML_CoDa to deal with adaptation to unpredictable context changes notified by asynchronous events.\",\"PeriodicalId\":53164,\"journal\":{\"name\":\"Journal of Historic Buildings and Places\",\"volume\":\"41 1\",\"pages\":\"37-45\"},\"PeriodicalIF\":0.1000,\"publicationDate\":\"2016-06-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Historic Buildings and Places\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4204/EPTCS.211.4\",\"RegionNum\":4,\"RegionCategory\":\"历史学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"0\",\"JCRName\":\"ARCHAEOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Historic Buildings and Places","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4204/EPTCS.211.4","RegionNum":4,"RegionCategory":"历史学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"ARCHAEOLOGY","Score":null,"Total":0}
Context-Oriented Programming languages provide us with primitive constructs to adapt program behaviour depending on the evolution of their operational environment, namely the context. In previous work we proposed ML_CoDa, a context-oriented language with two-components: a declarative constituent for programming the context and a functional one for computing. This paper describes an extension of ML_CoDa to deal with adaptation to unpredictable context changes notified by asynchronous events.