用软件可靠性增长模型估计广泛使用的软件产品的质量:一个IBM联邦数据库项目的案例研究

P. Li, R. Nakagawa, R. Montroy
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引用次数: 25

摘要

软件生产者可以使用质量评估来更好地管理他们部署的软件产品的质量。当前进行评估的最佳实践是使用软件可靠性增长建模(SRGM),它假设测试环境近似于部署环境。这个重要的假设并不适用于广泛使用的软件产品,它们在许多不同的使用场景下以各种各样的配置进行操作。然而,文献中几乎没有关于这种违反假设对预测的准确性和有用性的影响的经验数据。在本文中,我们报告了在IBM联邦数据库项目中使用SRGM的结果和经验。我们从大约9年的3个版本中检查缺陷数据。我们发现SRGM对项目的使用是有限的:绝对相对误差至少为34%,并且预测有时是不可信的。我们讨论了评估广泛使用的软件产品质量的替代方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimating the Quality of Widely Used Software Products Using Software Reliability Growth Modeling: Case Study of an IBM Federated Database Project
Software producers can better manage the quality of their deployed software products using estimates of quality. Current best practices for making estimates are to use software reliability growth modeling (SRGM), which assumes that testing environments approximate deployment environments. This important assumption does not hold for widely used software products, which are operated in a wide variety of configurations under many different usage scenarios. However, the literature contains little empirical data on the impact of this violation of assumptions on the accuracy and the usefulness of predictions. In this paper, we report results and experiences using SRGM on an IBM federated database project. We examine defect data from 3 releases spanning approximately 9 years. We find SRGM to be of limited use to the project: absolute relative errors are at least 34%, and predictions are, at times, implausible. We discuss alternative approaches for estimating quality of widely used software products.
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