Software Reliability - 40 Years of Avoiding the Question

2008 19th International Symposium on Software Reliability Engineering (ISSRE) Pub Date : 2008-11-10 DOI:10.1109/ISSRE.2008.65

Russell Morris

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引用次数: 1

Abstract

Summary form only given. During the past years, there has been an explosion of technical complexity of both hardware and software. Hardware, characterized by physics and empirical data, provides the reliability and systems engineers with a capability to estimate the expected reliability. Software has however managed to avoid this type of model development in part because the factors affecting reliability are not measurable by physical data. Software reliability is characterized by data gathered during systems integration and test. This data has attributes and parameters such as defect density, capability of programming of the software engineering team, the experience of the engineering team, the understanding of the application be the designers, the language used and more. Software reliability is more than the processes advocated by CMMI (Capability Maturity Modelreg Integration) and is susceptible to esoteric and infinitely harder parameters to measure. The author discusses some of the elements that affect software reliability and compares some of the differences when trying to estimate reliability of today's systems.

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软件可靠性——回避这个问题的40年

只提供摘要形式。在过去的几年里，硬件和软件的技术复杂性都出现了爆炸式增长。硬件以物理和经验数据为特征，为可靠性和系统工程师提供了估计预期可靠性的能力。然而，软件已经设法避免了这种类型的模型开发，部分原因是影响可靠性的因素不能通过物理数据来测量。软件可靠性的特征是在系统集成和测试过程中收集的数据。这些数据具有缺陷密度、软件工程团队的编程能力、工程团队的经验、设计人员对应用程序的理解、使用的语言等属性和参数。软件可靠性不仅仅是CMMI(能力成熟度模型集成)所倡导的过程，而且容易受到难以测量的深奥参数的影响。作者讨论了影响软件可靠性的一些因素，并在试图估计当今系统可靠性时比较了一些差异。

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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2008 19th International Symposium on Software Reliability Engineering (ISSRE)

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