{"title":"软件开发环境中的数据工程","authors":"G. Roman","doi":"10.1109/ICDE.1987.7272360","DOIUrl":null,"url":null,"abstract":"The design of a Software Development Environment (SDE) represents a very interesting point of contact between data engineering and software engineering. In this context data engineering becomes the cornerstone for successful software engineering practice. This paper attempts to bring about a better understanding of the difficulties associated with this task by considering sources of complexity in SDE design.","PeriodicalId":145433,"journal":{"name":"1987 IEEE Third International Conference on Data Engineering","volume":"140 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1987-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Data engineering in Software Development Environments\",\"authors\":\"G. Roman\",\"doi\":\"10.1109/ICDE.1987.7272360\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The design of a Software Development Environment (SDE) represents a very interesting point of contact between data engineering and software engineering. In this context data engineering becomes the cornerstone for successful software engineering practice. This paper attempts to bring about a better understanding of the difficulties associated with this task by considering sources of complexity in SDE design.\",\"PeriodicalId\":145433,\"journal\":{\"name\":\"1987 IEEE Third International Conference on Data Engineering\",\"volume\":\"140 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1987-02-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1987 IEEE Third International Conference on Data Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDE.1987.7272360\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1987 IEEE Third International Conference on Data Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDE.1987.7272360","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Data engineering in Software Development Environments
The design of a Software Development Environment (SDE) represents a very interesting point of contact between data engineering and software engineering. In this context data engineering becomes the cornerstone for successful software engineering practice. This paper attempts to bring about a better understanding of the difficulties associated with this task by considering sources of complexity in SDE design.