分析将修改后的韦布尔模型故障检测率函数纳入软件可靠性建模中的分析.
Tabassum Naz Sindhu1, Anum Shafiq2,3, Zakia Hammouch4,5,6
1Department of Statistics, Quaid-i-Azam University, Islamabad, 44000, Pakistan.
Heliyon
|July 29, 2024
概括
本研究引入了一种新的软件可靠性模型,以应对不同的现场环境. 该模型提高了预测软件故障的准确性,优于现有方法.
科学领域:
- 计算机科学 计算机科学
- 软件工程 软件工程 软件工程
- 可靠性工程可靠性工程
背景情况:
- 软件系统在控制测试条件之外的各种现场环境中部署时面临可靠性挑战.
- 环境变化和内部代码缺陷使准确评估和提高软件可靠性的努力变得复杂.
- 现有的模型往往难以解释不同运营地点带来的不确定性.
研究的目的:
- 提出一种新的软件可靠性模型,该模型明确纳入操作环境的不确定性.
- 为拟议模型的平均值函数提供封闭形式的解决方案.
- 通过使用现实世界的软件故障数据,对模型的性能与已建立的方法进行评估.
主要方法:
- 开发一种新的软件可靠性模型,旨在处理环境不确定性.
- 拟议模型的明确封闭形式平均值函数的导数.
- 与基于韦布尔分布的非均波桑过程 (NHPP) 模型进行比较分析,使用四个故障数据集.
主要成果:
- 与NHPP Weibull模型相比,拟议的模型在不同的估计技术中显示出更好的适合性.
- 该模型显示了高精度,并提供了更详细的软件可靠性的评估.
- 灵敏度分析证实,模型的参数显著影响平均值函数.
结论:
- 新的软件可靠性模型有效地解决了环境的不确定性,提供了更好的准确性.
- 该模型的多功能性和卓越性能使其成为软件可靠性评估的宝贵工具.
- 进一步的研究可以探索特定环境因素对模型参数的影响.
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