Challenges and opportunities: an in-depth empirical study on configuration error injection testing

Wang Li, Zhouyang Jia, Shanshan Li, Yuanliang Zhang, Teng Wang, Erci Xu, Ji Wang, Xiangke Liao
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引用次数: 6

Abstract

Configuration error injection testing (CEIT) could systematically evaluate software reliability and diagnosability to runtime configuration errors. This paper explores the challenges and opportunities of applying CEIT technique. We build an extensible, highly-modularized CEIT framework named CeitInspector to experiment with various CEIT techniques. Using CeitInspector, we quantitatively measure the effectiveness and efficiency of CEIT using six mature and widely-used server applications. During this process, we find a fair number of test cases are left unstudied by the prior research work. The injected configuration errors in these cases often indicate latent misconfigurations, which might be ticking time bombs in the system and lead to severe damage. We conduct an in-depth study regarding these cases to reveal the root causes, and explore possible remedies. Finally, we come up with actionable suggestions guided by our study to improve the effectiveness and efficiency of the existing CEIT techniques.
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挑战与机遇:配置错误注入测试的深入实证研究
配置错误注入测试(CEIT)可以系统地评估软件运行时配置错误的可靠性和可诊断性。本文探讨了应用CEIT技术的挑战和机遇。我们构建了一个可扩展的、高度模块化的CEIT框架,名为CeitInspector,用于试验各种CEIT技术。使用CeitInspector,我们使用六个成熟且广泛使用的服务器应用程序定量测量CEIT的有效性和效率。在这个过程中,我们发现相当数量的测试用例没有被先前的研究工作所研究。在这些情况下,注入的配置错误通常表明潜在的配置错误,这可能是系统中的定时炸弹,并导致严重的破坏。我们对这些案例进行了深入的研究,以揭示根本原因,并探讨可能的补救措施。最后,我们在研究的指导下提出了可操作的建议,以提高现有CEIT技术的有效性和效率。
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