统计质量控制:如何检测不可靠的软件组件

Proceedings The Eighth International Symposium on Software Reliability Engineering Pub Date : 1997-11-02 DOI:10.1109/ISSRE.1997.630843

H. Stieber

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引用次数: 31

摘要

如果使用“经典”测试策略(没有使用测试)，软件可靠性增长模型的应用可能会很困难，可靠性预测可能会产生误导。然而，统计方法可以成功地应用于失效数据。本文提出了一种方法，可以检测不可靠的软件组件，并比较不同软件版本的可靠性，即使测试是用传统的方式进行的。描述了一种简单易用的图形方法，主要基于Wald(1947)的顺序测试。该方法已成功应用于税务顾问软件系统。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Statistical quality control: how to detect unreliable software components

If "classical" testing-strategies are used (no usage-testing) the application of software reliability growth models may be difficult and reliability predictions can be misleading. Nevertheless statistical methods can be successfully applied to failure data. This paper presents an approach which allows the detection of unreliable software components and the comparison of the reliability of different software versions-even if testing is done in a classical manner. A simple to use graphical method-which is mainly based on the sequential test of Wald (1947)-is described. The methodology was successfully applied to a software system for tax consultants.

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Proceedings The Eighth International Symposium on Software Reliability Engineering

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