时效性的自动化测试:一个案例研究

R. Nilsson, A. Offutt
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引用次数: 17

摘要

测试实时应用程序的时效性的一个问题是响应时间依赖于并发任务的执行顺序。传统的测试方法忽略任务交错和计时,因此不能帮助确定需要执行哪个执行命令来测试时间正确性。已经提出了基于模型的突变测试来生成输入并确定需要验证的执行顺序,以增加对时效性的信心。本文通过在一个运行在Linux/RTAI上的小型控制系统上的应用,评估了一个基于突变的自动化时效性测试框架。本文的实验表明,基于突变的测试用例在发现自然发生和随机播种的时效性故障方面比随机测试和压力测试更有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automated Testing of Timeliness : A Case Study
A problem with testing timeliness of real-time applications is the response-time dependency on the execution order of concurrent tasks. Conventional test methods ignore task interleaving and timing and thus do not help determine which execution orders need to be exercised to test temporal correctness. Model based mutation testing has been proposed to generate inputs and determine the execution orders that need to be verified to increase confidence in timeliness. This paper evaluate a mutation-based framework for automated testing of timeliness by applying it on a small control system running on Linux/RTAI. The experiments presented in this paper indicate that mutation-based test cases are more effective than random and stress tests in finding both naturally occurring and randomly seeded timeliness faults.
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