扩展程序不变量:在测试和故障定位中的应用

Mohammad Amin Alipour, Alex Groce
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引用次数: 12

摘要

不变量是程序分析和推理的强大工具。已经开发了一些工具和技术来推断程序的不变量。给定一个程序的测试套件,不变量检测工具(IDT)从测试套件的测试用例上的程序执行中提取(潜在的)不变量。所得到的不变量只包含对IDT可见的变量和常量之间的关系。idt通常无法提取关于执行特性(如采取的分支)的不变量,因为程序通常没有这些特性的状态变量。因此,IDT没有关于这些特征的信息,无法推断它们之间的关系。我们推测关于执行特性的不变量对于理解测试套件是有用的;我们称之为不变量,扩展不变量。在本文中,我们讨论了扩展不变量在理解测试套件和故障定位方面的潜在应用。我们通过一些使用基本块计数作为扩展不变量执行特性的小示例来说明扩展不变量的有用性。我们相信扩展不变量提供了关于程序执行的有用信息,可以用于程序分析和测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extended program invariants: applications in testing and fault localization
Invariants are powerful tools for program analysis and reasoning.Several tools and techniques have been developed to infer invariants of a program. Given a test suite for a program, an invariant detection tool (IDT) extracts (potential) invariants from the program execution on test cases of the test suite. The resultant invariants contain relations only over variables and constants that are visible to the IDT. IDTs are usually unable to extract invariants about execution features like taken branches, since programs usually do not have state variables for such features. Thus, the IDT has no information about such features in order to infer relations between them. We speculate that invariants about execution features are useful for understanding test suites; we call these invariants, extended invariants. In this paper, we discuss potential applications of extended invariants in understanding of test suites, and fault localization. We illustrate the usefulness of extended invariants with some small examples that use basic block count as the execution feature in extended invariants. We believe extended invariants provide useful information about execution of programs that can be utilized in program analysis and testing.
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