不均的Poisson过程软件可靠性模型,包括初始故障多样化和依赖故障.
Youn Su Kim1, Kwang Yoon Song1,2, Hoang Pham3
1Institute of Well-Aging Medicare and CSU G-LAMP Project Group, Chosun University, Gwangju, Republic of Korea.
Science progress
|December 24, 2025
概括
这项研究引入了一种新的软件可靠性模型,该模型解释了初始缺陷和依赖性故障. 它的性能优于传统模型,提高了现实世界的软件可靠性预测.
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
背景情况:
- 软件系统越来越复杂和至关重要,需要强有力的可靠性措施.
- 现有的软件可靠性模型通常假定零初始缺陷,限制了它们在现实世界中的适用性.
研究的目的:
- 开发和验证一种新的软件可靠性模型,该模型包含初始缺陷和依赖性故障事件.
- 提高软件故障预测的准确性,特别是在开发的早期阶段.
主要方法:
- 开发了一个新的软件可靠性模型,假设独立和依赖的故障过程.
- 拟议的模型与使用三个不同的数据集的15个传统模型进行了评估.
- 用九种不同的评价标准来评估绩效.
主要成果:
- 与传统模型相比,拟议的模型在所有测试的数据集中表现出优异的性能.
- 该模型通过考虑初始缺陷的存在来有效预测软件故障.
- 该模型处理依赖性故障的能力提高了其预测能力.
结论:
- 开发的软件可靠性模型为预测复杂软件故障提供了显著的进步.
- 这项研究有助于为现实场景创建更准确和适用的软件可靠性模型.
- 了解早期缺陷对于提高整体软件可靠性至关重要.
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