在路径上自动生成白盒和黑盒测试数据

Jinhui Shan, Ji Wang, Zhichang Qi
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引用次数: 5

摘要

程序中给定路径测试数据的自动生成是软件测试中的一个基本问题,其难点在于如何求解非线性约束。Gupta等人(1998)提出了一种通过线性化谓词函数来解决上述问题的方法,称为迭代松弛法。本文对迭代松弛法进行了改进,省去了谓词片和输入依赖集的构造,证明了两种方法生成的约束系统的等价性。由于在导出约束系统的过程中,我们的方法不需要分析路径上语句之间的依赖关系,因此当某些语句只是路径上的对象或可执行代码而不是源代码时,我们的方法仍然有效。因此,我们的方法也可以用于生成黑盒测试和回归测试的测试数据。本文开发了一种基于路径的测试数据生成器的原型,并给出了其基本算法。该样机的初步实验表明,我们的方法是实用的。
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On path-wise automatic generation of test data for both white-box and black-box testing
Automatic generation of test data for a given path in a program is an elementary problem in software testing, the difficulty of which lies in how to solve the nonlinear constraint. Gupta et al. (1998) proposed a method, which is referred to as the iterative relaxation method, to address the above problem by linearizing the predicate functions. This paper improves the iterative relaxation method by omitting the constructions of predicate slice and input dependency set, and proves the equivalence of systems of constraints generated by both methods. Since it is not necessary for our method to analyze the dependencies between statements on the path in the course of deriving a system of constraints, our method still works when some statements are only object or executable codes rather than source codes on the path. Therefore, our method can also be used for generating test data for black-box testing and regression testing. We have developed a prototype of a path-wise test data generator whose fundamental algorithm is presented in this paper. The initial experiments with this prototype have shown that our method is practical.
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