{"title":"DAHLIA 2.0:动态异构系统中数据库使用的可视化分析器","authors":"L. Meurice, Anthony Cleve","doi":"10.1109/VISSOFT.2016.15","DOIUrl":null,"url":null,"abstract":"Understanding the links between application programs and their database is useful in various contexts such as migrating information systems towards a new database platform, evolving the database schema, or assessing the overall system quality. However, data-intensive applications nowadays tend to access their underlying database in an increasingly dynamic way. The queries that they send to the database server are usually built at runtime, through String concatenation, or Object-Relational-Mapping (ORM) frameworks. This level of dynamicity significantly complicates the task of adapting programs to an evolving database schema. In this paper, we present DAHLIA 2.0, an interactive visualization tool that allows developers to analyze the database usage in order to support data-intensive software evolution and more precisely, program-database co-evolution.","PeriodicalId":122979,"journal":{"name":"2016 IEEE Working Conference on Software Visualization (VISSOFT)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"DAHLIA 2.0: A Visual Analyzer of Database Usage in Dynamic and Heterogeneous Systems\",\"authors\":\"L. Meurice, Anthony Cleve\",\"doi\":\"10.1109/VISSOFT.2016.15\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Understanding the links between application programs and their database is useful in various contexts such as migrating information systems towards a new database platform, evolving the database schema, or assessing the overall system quality. However, data-intensive applications nowadays tend to access their underlying database in an increasingly dynamic way. The queries that they send to the database server are usually built at runtime, through String concatenation, or Object-Relational-Mapping (ORM) frameworks. This level of dynamicity significantly complicates the task of adapting programs to an evolving database schema. In this paper, we present DAHLIA 2.0, an interactive visualization tool that allows developers to analyze the database usage in order to support data-intensive software evolution and more precisely, program-database co-evolution.\",\"PeriodicalId\":122979,\"journal\":{\"name\":\"2016 IEEE Working Conference on Software Visualization (VISSOFT)\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE Working Conference on Software Visualization (VISSOFT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VISSOFT.2016.15\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Working Conference on Software Visualization (VISSOFT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VISSOFT.2016.15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
DAHLIA 2.0: A Visual Analyzer of Database Usage in Dynamic and Heterogeneous Systems
Understanding the links between application programs and their database is useful in various contexts such as migrating information systems towards a new database platform, evolving the database schema, or assessing the overall system quality. However, data-intensive applications nowadays tend to access their underlying database in an increasingly dynamic way. The queries that they send to the database server are usually built at runtime, through String concatenation, or Object-Relational-Mapping (ORM) frameworks. This level of dynamicity significantly complicates the task of adapting programs to an evolving database schema. In this paper, we present DAHLIA 2.0, an interactive visualization tool that allows developers to analyze the database usage in order to support data-intensive software evolution and more precisely, program-database co-evolution.
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