{"title":"DQS's experience with SRE","authors":"W. Everett, J. Gobat","doi":"10.1109/ISSRE.1996.558820","DOIUrl":null,"url":null,"abstract":"This is an experience report on the application of software reliability engineering (SRE) in developing the Data Quality System (DQS). DQS is a knowledge-based software system developed by Lucent Technologies. It was developed to synchronize data spread among several disparate databases. The first application of DQS was to telecommunications network databases. Because the development of DQS was a large custom software development project, SRE was employed to assist in measuring product quality and readiness for production use. In this report, we first describe what we wanted to accomplish in applying SRE methods in the DQS project. The AT&T best current practice outlined the prerequisites for applying SRE during testing. We describe how we addressed these prerequisites in the DQS project. In particular, we discuss specifics on: what assumptions were made regarding an operational profile; how test cases were selected to conform to operational profile usage; and how test log forms were designed and used to collect failure data and to manage the test effort itself. Next, we share the results of reliability growth modeling during the system testing and field trials. Finally, we highlight what we learned in our initial implementation of SRE and what plans were recommended for subsequent implementations.","PeriodicalId":441362,"journal":{"name":"Proceedings of ISSRE '96: 7th International Symposium on Software Reliability Engineering","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of ISSRE '96: 7th International Symposium on Software Reliability Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSRE.1996.558820","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

This is an experience report on the application of software reliability engineering (SRE) in developing the Data Quality System (DQS). DQS is a knowledge-based software system developed by Lucent Technologies. It was developed to synchronize data spread among several disparate databases. The first application of DQS was to telecommunications network databases. Because the development of DQS was a large custom software development project, SRE was employed to assist in measuring product quality and readiness for production use. In this report, we first describe what we wanted to accomplish in applying SRE methods in the DQS project. The AT&T best current practice outlined the prerequisites for applying SRE during testing. We describe how we addressed these prerequisites in the DQS project. In particular, we discuss specifics on: what assumptions were made regarding an operational profile; how test cases were selected to conform to operational profile usage; and how test log forms were designed and used to collect failure data and to manage the test effort itself. Next, we share the results of reliability growth modeling during the system testing and field trials. Finally, we highlight what we learned in our initial implementation of SRE and what plans were recommended for subsequent implementations.
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DQS在SRE的经验
本文是软件可靠性工程(SRE)在数据质量系统(DQS)开发中的应用经验报告。DQS是朗讯科技公司开发的基于知识的软件系统。开发它是为了同步分布在几个不同数据库中的数据。DQS的第一个应用是电信网络数据库。因为DQS的开发是一个大型的定制软件开发项目,所以SRE被用来协助测量产品质量和生产使用的准备情况。在这份报告中,我们首先描述了我们在DQS项目中应用SRE方法想要实现的目标。AT&T当前的最佳实践概述了在测试期间应用SRE的先决条件。我们将描述如何在DQS项目中解决这些先决条件。特别地,我们讨论了以下细节:对操作概要做出了哪些假设;如何选择测试用例以符合操作概要文件的使用;以及如何设计和使用测试日志表单来收集故障数据和管理测试工作本身。接下来,我们将分享系统测试和现场试验期间可靠性增长建模的结果。最后,我们强调了我们在SRE的初始实现中学到的东西,以及为后续实现推荐的计划。
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