Reishi Yokomori, Harvey P. Siy, Masami Noro, Katsuro Inoue
{"title":"使用组件排序来评估框架变更的影响","authors":"Reishi Yokomori, Harvey P. Siy, Masami Noro, Katsuro Inoue","doi":"10.1109/ICSM.2009.5306323","DOIUrl":null,"url":null,"abstract":"Most of today's software applications are built on top of libraries or frameworks. Just as applications evolve, libraries and frameworks also evolve. Upgrading is straightforward when the framework changes preserve the API and behavior of the offered services. However, in most cases, major changes are introduced with the new framework release, which can have a significant impact on the application. Hence, a common question a framework user might ask is, “Is it worth upgrading to the new framework version?” In this paper, we study the evolution of an application and its underlying framework to understand the information we can get through a multi-version use relation analysis. We use component rank changes to measure this impact. Component rank measurement is a way of quantifying the importance of a component by its usage. As framework components are used by applications, the rankings of the components are changed. We use component ranking to identify the core components in each framework version. We also confirm that upgrading to the new framework version has an impact to a component rank of the entire system and the framework, and this impact not only involves components which use the framework directly, but also other indirectly-related components. Finally, we also confirm that there is a difference in the growth of use relations between application and framework.","PeriodicalId":247441,"journal":{"name":"2009 IEEE International Conference on Software Maintenance","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Assessing the impact of framework changes using component ranking\",\"authors\":\"Reishi Yokomori, Harvey P. Siy, Masami Noro, Katsuro Inoue\",\"doi\":\"10.1109/ICSM.2009.5306323\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Most of today's software applications are built on top of libraries or frameworks. Just as applications evolve, libraries and frameworks also evolve. Upgrading is straightforward when the framework changes preserve the API and behavior of the offered services. However, in most cases, major changes are introduced with the new framework release, which can have a significant impact on the application. Hence, a common question a framework user might ask is, “Is it worth upgrading to the new framework version?” In this paper, we study the evolution of an application and its underlying framework to understand the information we can get through a multi-version use relation analysis. We use component rank changes to measure this impact. Component rank measurement is a way of quantifying the importance of a component by its usage. As framework components are used by applications, the rankings of the components are changed. We use component ranking to identify the core components in each framework version. We also confirm that upgrading to the new framework version has an impact to a component rank of the entire system and the framework, and this impact not only involves components which use the framework directly, but also other indirectly-related components. Finally, we also confirm that there is a difference in the growth of use relations between application and framework.\",\"PeriodicalId\":247441,\"journal\":{\"name\":\"2009 IEEE International Conference on Software Maintenance\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-10-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE International Conference on Software Maintenance\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSM.2009.5306323\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE International Conference on Software Maintenance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSM.2009.5306323","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Assessing the impact of framework changes using component ranking
Most of today's software applications are built on top of libraries or frameworks. Just as applications evolve, libraries and frameworks also evolve. Upgrading is straightforward when the framework changes preserve the API and behavior of the offered services. However, in most cases, major changes are introduced with the new framework release, which can have a significant impact on the application. Hence, a common question a framework user might ask is, “Is it worth upgrading to the new framework version?” In this paper, we study the evolution of an application and its underlying framework to understand the information we can get through a multi-version use relation analysis. We use component rank changes to measure this impact. Component rank measurement is a way of quantifying the importance of a component by its usage. As framework components are used by applications, the rankings of the components are changed. We use component ranking to identify the core components in each framework version. We also confirm that upgrading to the new framework version has an impact to a component rank of the entire system and the framework, and this impact not only involves components which use the framework directly, but also other indirectly-related components. Finally, we also confirm that there is a difference in the growth of use relations between application and framework.