FastFI: Accelerating Software Fault Injections

Oliver Schwahn, Nicolas Coppik, Stefan Winter, N. Suri
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引用次数: 8

Abstract

Software Fault Injection (SFI) is a widely used technique to experimentally assess the dependability of software systems. To provide a comprehensive view on the dependability of a software under test, SFI typically requires large numbers of experiments, which leads to long test latencies. In order to reduce the overall test duration for SFI, we propose FASTFI, which (1) avoids redundant executions of common path prefixes for faults in the same injection location, (2) avoids test executions for faults that do not get activated, and (3) utilizes parallel processors by executing SFI tests concurrently. FASTFI takes patch files that specify source code mutations as an input, conducts an automated source code analysis to identify the function they target, and then automatically parallelizes the execution of all mutants that target the same function. Our evaluation of FASTFI on four PARSEC benchmarks shows a SFI test latency reduction of up to a factor of 26.
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FastFI:加速软件故障注入
软件故障注入(SFI)是一种广泛应用于软件系统可靠性实验评估的技术。为了对被测软件的可靠性提供一个全面的看法,SFI通常需要大量的实验,这导致了很长的测试延迟。为了减少SFI的整体测试持续时间,我们提出了FASTFI,它(1)避免在同一注入位置对故障重复执行公共路径前缀,(2)避免对未激活的故障执行测试,以及(3)通过并发执行SFI测试来利用并行处理器。FASTFI将指定源代码突变的补丁文件作为输入,进行自动化的源代码分析以识别它们所针对的功能,然后自动并行执行针对同一功能的所有突变。我们在四个PARSEC基准测试上对FASTFI的评估显示,SFI测试延迟减少了高达26倍。
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