使用基于转换的编译器测试,测试用例减少和重复数据删除几乎是免费的

A. Donaldson, Paul Thomson, Vasyl Teliman, Stefano Milizia, André Perez Maselco, Antoni Karpiński
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引用次数: 17

摘要

最近基于转换的编译器测试方法寻找等效程序对的结果之间的不匹配,其中一个程序通过随机应用保持语义的转换派生自另一个程序。我们提出了一种基于转换的编译器测试的公式,它几乎免费地提供了有效的测试用例缩减:如果转换设计得尽可能小且独立,则可以使用标准增量调试将引起错误的转换序列缩减为仍然触发错误的较小子序列。然后,可以将错误报告为原始程序和最小转换程序之间的增量。最小化转换序列还可以用于启发式地去重复一组引起错误的测试,建议手工调查那些涉及不同类型转换的测试,因此可能有不同的根本原因。我们通过一个新工具spirv-fuzz证明了我们方法的有效性,这是支持Vulkan GPU编程模型的spirv- v中间表示的第一个编译器测试工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Test-case reduction and deduplication almost for free with transformation-based compiler testing
Recent transformation-based approaches to compiler testing look for mismatches between the results of pairs of equivalent programs, where one program is derived from the other by randomly applying semantics-preserving transformations. We present a formulation of transformation-based compiler testing that provides effective test-case reduction almost for free: if transformations are designed to be as small and independent as possible, standard delta debugging can be used to shrink a bug-inducing transformation sequence to a smaller subsequence that still triggers the bug. The bug can then be reported as a delta between an original and minimally-transformed program. Minimized transformation sequences can also be used to heuristically deduplicate a set of bug-inducing tests, recommending manual investigation of those that involve disparate types of transformations and thus may have different root causes. We demonstrate the effectiveness of our approach via a new tool, spirv-fuzz, the first compiler-testing tool for the SPIR-V intermediate representation that underpins the Vulkan GPU programming model.
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