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Testing-effort-dependent software reliability growth model for a distributed environment using debugging time lag functions

机译:使用调试时滞功能的分布式环境中与测试工作量相关的软件可靠性增长模型

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摘要

Distributed software system consists of reused and newly developed software components. This paper presents testing-effort-dependent Software Reliability Growth Model (SRGM) for distributed environment. We have used logistic learning function for newly developed components with the assumption that the skill of the testing team grows as testing progresses. We assume that detected faults are not immediately removed but lag the fault detection process by debugging time lag. Thus, different debugging time lag functions have been used during removal process for newly developed components. The proposed model has been validated and is shown that the proposed model results are comparatively better than the existing ones.
机译:分布式软件系统由重用和新开发的软件组件组成。本文介绍了基于测试工作量的分布式环境的软件可靠性增长模型(SRGM)。我们已将逻辑学习功能用于新开发的组件,并假设测试团队的技能会随着测试的进行而增长。我们假设检测到的故障不会立即消除,而是由于调试时间差而使故障检测过程滞后。因此,对于新开发的组件,在删除过程中已使用了不同的调试时滞功能。所提出的模型已经过验证,结果表明所提出的模型结果比现有模型要好。

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