过程控制系统软件的可靠性增长模型

Proceedings of 1994 IEEE International Symposium on Software Reliability Engineering Pub Date : 1994-11-06 DOI:10.1109/ISSRE.1994.341396

A. Pasquini

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引用次数: 1

摘要

可靠性增长模型是最广为人知并在实际应用中得到广泛应用的模型。然而，这些模型的性能限制了它们对实现非常低的可靠性水平的控制和评估的适用性。它们预测质量不足的原因之一是它们用于可靠性估计的信息的稀缺性。它们没有考虑到可以很容易地从代码观察中收集到的信息，比如代码复杂性，或者在测试过程中，比如获得的覆盖率。本文分析了用可靠性增长模型对某测量设备控制系统软件进行评估时遇到的问题。

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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Reliability growth modelling of software for process control systems

Reliability growth models are the most widely known and used in practical applications. Nevertheless, the performances of these models limit their applicability to the control and assessment of the attainment of very low reliability levels. One of the reasons for their insufficient predictive quality is the scarcity of information they use for reliability estimation. They do not take into account information that could be easily collected from code observation, such as the code complexity, or during testing such as the coverage obtained. The paper analyzes the problems encountered using reliability growth models for the evaluation of software used in a measurement equipment control system.<>

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Proceedings of 1994 IEEE International Symposium on Software Reliability Engineering

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