基于Ohba软件可靠性增长模型的有效置信区间估计

2017 International Conference on Computing Intelligence and Information System (CIIS) Pub Date : 2017-04-01 DOI:10.1109/CIIS.2017.38

Po-Chiang Tsai, Chih-Chiang Fang

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引用次数: 0

摘要

软件可靠性是一项重要的质量指标，可以为软件管理者提供关键的信息。由于大多数研究者对均值函数的方差推断不正确，其置信区间不符合现实情况。在这种情况下，软件管理者无法利用均值函数的随机性准确估计软件系统可能发生的风险变化，可能会降低应用的实用性。本文利用Ohba的模型构建具有置信区间的SRGM，帮助软件开发人员在实践中有效地确定最优发布时间。

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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Effective Confidence Interval Estimation Based on Ohba's Software Reliability Growth Model

Software reliability is an essential quality indicator which can provide critical messages for software managers. Due to fact that most of researchers might improperly infer the variance regarding the mean value function, its confidence interval would not conform to the real world situation. In this situation, software manager cannot accurately estimate the possible risk variation of software system by using the randomness of mean value function, and it might debase the practicability of applications. In this paper, Ohba's model is used to build the SRGM with confidence intervals that can help the software developers to effectively determine the optimal release time in practice.

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2017 International Conference on Computing Intelligence and Information System (CIIS)

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