使用基于人的故障注入测试方法增加测试覆盖率

N. Yusop, W. F. Abbas, H. Haron, Kamalia Azma Kamaruddin
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引用次数: 2

摘要

故障注入测试(FIT)方法通过将软件故障主动注入系统的目标区域来提高系统的故障率,从而验证系统的容错机制。这是对其他测试方法的高度补充,例如在同一测试阶段实现的需求和回归测试。在测试期间,不可能运行所有可能的测试场景。尤其难以预测用户如何根据设计正确地使用系统功能。人类通过系统的交互可能是多种多样的,并将导致功能漏洞。因此,有战略测试方法来评估计算机系统的可靠性是很重要的,特别是在人为错误中。本文提出了将基于知识的方法、故障预测模型和测试用例优先级方法相结合来提高测试覆盖率的方法。本文的目标是强调将FIT作为一种有效的测试技术来执行的选择方法的需要和优点,以提高软件质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Increasing test coverage using human-based approach of fault injection testing
Fault injection testing (FIT) approach validates system's fault tolerance mechanism by actively injecting software faults into the targeted areas in the system in order to accelerate its failure rate. This highly complements other testing approaches such as requirements and regression testing implemented during the same testing phase. During testing, it is impossible to run all possible test scenarios. It is especially difficult to predict how the user might use the system functionality correctly as per design. The human interaction through the system may be varies and will leads to the functionality loophole. It is therefore important to have strategic testing approach for evaluating the dependability of computer systems especially in human errors. This paper proposed on applying Knowledge-Based, Fault Prediction Model and Test Case Prioritization approaches that can be combined to increase the test coverage. The goal of this paper is to highlight the needs and advantages of the selected approaches in performing FIT as one of effective testing techniques in the ongoing quest for increased software quality.
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