{"title":"使用依赖图复杂性预测子系统故障","authors":"Thomas Zimmermann, Nachiappan Nagappan","doi":"10.1109/ISSRE.2007.19","DOIUrl":null,"url":null,"abstract":"In any software project, developers need to be aware of existing dependencies and how they affect their system. We investigated the architecture and dependencies of Windows Server 2003 to show how to use the complexity of a subsystem's dependency graph to predict the number of failures at statistically significant levels. Such estimations can help to allocate software quality resources to the parts of a product that need it most, and as early as possible.","PeriodicalId":193805,"journal":{"name":"The 18th IEEE International Symposium on Software Reliability (ISSRE '07)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"78","resultStr":"{\"title\":\"Predicting Subsystem Failures using Dependency Graph Complexities\",\"authors\":\"Thomas Zimmermann, Nachiappan Nagappan\",\"doi\":\"10.1109/ISSRE.2007.19\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In any software project, developers need to be aware of existing dependencies and how they affect their system. We investigated the architecture and dependencies of Windows Server 2003 to show how to use the complexity of a subsystem's dependency graph to predict the number of failures at statistically significant levels. Such estimations can help to allocate software quality resources to the parts of a product that need it most, and as early as possible.\",\"PeriodicalId\":193805,\"journal\":{\"name\":\"The 18th IEEE International Symposium on Software Reliability (ISSRE '07)\",\"volume\":\"50 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-11-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"78\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 18th IEEE International Symposium on Software Reliability (ISSRE '07)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSRE.2007.19\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 18th IEEE International Symposium on Software Reliability (ISSRE '07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSRE.2007.19","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 78
摘要
在任何软件项目中，开发人员都需要了解现有的依赖项以及它们如何影响系统。我们研究了Windows Server 2003的体系结构和依赖关系，以展示如何使用子系统依赖关系图的复杂性来预测具有统计意义的故障数量。这样的评估可以帮助尽可能早地将软件质量资源分配给产品中最需要的部分。
Predicting Subsystem Failures using Dependency Graph Complexities
In any software project, developers need to be aware of existing dependencies and how they affect their system. We investigated the architecture and dependencies of Windows Server 2003 to show how to use the complexity of a subsystem's dependency graph to predict the number of failures at statistically significant levels. Such estimations can help to allocate software quality resources to the parts of a product that need it most, and as early as possible.
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