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首页> 外文期刊>International Journal Of Modelling & Simulation >SOFTWARE RELIABILITY GROWTH MODELS INCORPORATING CHANGE POINT WITH IMPERFECT FAULT REMOVAL AND ERROR GENERATION
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SOFTWARE RELIABILITY GROWTH MODELS INCORPORATING CHANGE POINT WITH IMPERFECT FAULT REMOVAL AND ERROR GENERATION

机译：软件可靠性增长模型，结合了不完美的故障消除和错误产生的变化点

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摘要

The number of faults removed need not always be same as the number of failures observed in real software development environment. If number of failures observed is more than number of faults removed then we have the case of imperfect debugging. Due to complexity of software system and incomplete understanding of software, testing team may not be able to remove the fault perfectly on detection of failure and the original fault may remain leading to imperfect fault removal, or get replaced by another fault/error causing error generation. Attempts have been made to study the above cases separately. Most of the SRGMs are based upon constant or monotonically increasing fault detection rate (FDR). In practice, as testing grows, so does skill and efficiency of the testers. With introduction of new testing strategies and new test cases, there comes a change in FDR. The time point where the change in removal curve appears is termed as "change point". In this paper, we incorporate the concept of change point in software reliability growth in presence of imperfect fault removal and error generation. The models have been validated, evaluated and compared with other existing NHPP models by applying it on actual failure/fault removal data sets cited from real software development projects.
机译：消除的故障数量不必总是与实际软件开发环境中观察到的故障数量相同。如果观察到的故障数大于清除的故障数，则说明调试不完善。由于软件系统的复杂性和对软件的不完全了解，测试团队可能无法在检测到故障时完美地消除故障，并且原始故障可能仍然导致不完善的故障排除，或被导致错误产生的另一种故障/错误所取代。已经尝试单独研究上述情况。大多数SRGM基于恒定或单调增加的故障检测率（FDR）。在实践中，随着测试的增长，测试人员的技能和效率也会提高。随着新测试策略和新测试案例的引入，FDR发生了变化。去除曲线的变化出现的时间点称为“变化点”。在本文中，我们在存在不完善的故障排除和错误生成的情况下，将变更点的概念纳入了软件可靠性的增长中。通过将其应用于实际软件开发项目中引用的实际故障/故障排除数据集，这些模型已经过验证，评估并与其他现有NHPP模型进行了比较。

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