{"title":"航空航天应用数据库设计的自动化工具及其选择标准","authors":"B. Patel","doi":"10.1109/AERO.1989.82421","DOIUrl":null,"url":null,"abstract":"Commercial and research-oriented database design tools for the design of data-intensive systems are surveyed. An overview of a generic database design methodology is first given, followed by a set of criteria for selecting an appropriate design tool for the user's environment. Issues dealing with integrating computer-aided software engineering (CASE) tools with database (DB) design tools and the support environment (e.g. configuration control of data dictionary and schemas, database population and testing) are discussed.<<ETX>>","PeriodicalId":414116,"journal":{"name":"IEEE Aerospace Applications Conference","volume":"134 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Automated tools for database design and criteria for their selection for aerospace applications\",\"authors\":\"B. Patel\",\"doi\":\"10.1109/AERO.1989.82421\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Commercial and research-oriented database design tools for the design of data-intensive systems are surveyed. An overview of a generic database design methodology is first given, followed by a set of criteria for selecting an appropriate design tool for the user's environment. Issues dealing with integrating computer-aided software engineering (CASE) tools with database (DB) design tools and the support environment (e.g. configuration control of data dictionary and schemas, database population and testing) are discussed.<<ETX>>\",\"PeriodicalId\":414116,\"journal\":{\"name\":\"IEEE Aerospace Applications Conference\",\"volume\":\"134 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-02-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Aerospace Applications Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AERO.1989.82421\",\"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 Aerospace Applications Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AERO.1989.82421","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automated tools for database design and criteria for their selection for aerospace applications
Commercial and research-oriented database design tools for the design of data-intensive systems are surveyed. An overview of a generic database design methodology is first given, followed by a set of criteria for selecting an appropriate design tool for the user's environment. Issues dealing with integrating computer-aided software engineering (CASE) tools with database (DB) design tools and the support environment (e.g. configuration control of data dictionary and schemas, database population and testing) are discussed.<>
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