工业中大型软件系统的可靠性模型

W. Jones
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引用次数: 28

摘要

BNR是北方电信和加拿大贝尔公司的研发子公司,拥有世界上最大的软件系统之一,拥有超过800万行高级语言的代码库。该软件用于北方电信市场的高端数字交换系统。软件可靠性方法应用于该软件的主要子集,以确定客户感知的故障和实际软件故障的总数是否可以在此类系统的新版本发布之前或之后不久预测。这些预测是基于客户前测试(alpha和beta)和小型现场试验。比较了文献中现有的许多可靠性模型和参数估计方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reliability models for very large software systems in industry
BNR, the R&D subsidiary of Northern Telecom and Bell Canada, has one of the largest software systems in the world, with code libraries exceeding 8 million source lines of a high level language. This software is used in the high-end digital switching systems that Northern Telecom markets. Software reliability methods are applied to a major subset of this software to determine if the total number of customer-perceived failures and actual software faults can be predicted before or soon after a new release of such a system. These predictions are based on pre-customer testing ( alpha and beta ) and small field trials. Many of the existing reliability models and methods of parameter estimation currently demonstrated in the literature are compared.<>
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