论文标题
基于对象的变质测试通过图像结构
Object-based Metamorphic Testing through Image Structuring
论文作者
论文摘要
测试软件通常是由于需要大量生产测试用例并为其提供测试甲板。这通常称为甲骨文问题。为了减轻甲骨文问题而提出的一种方法是变质测试。变质测试通过更改现有测试用例来产生新的测试用例，并使用输入和正在测试的系统的输出之间的变质关系（SUT）来预测产生的测试用例的预期输出。变质测试经常用于图像处理软件，其中将更改应用于图像的属性，以创建带有与原始图像相同的注释的新测试用例。我们将这种现有方法称为基于图像的变质测试。在这项研究中，我们提出了一种基于对象的变质测试和复合变质测试，该测试结合了不同的变质测试方法，以相对增加测试覆盖率。
Testing software is often costly due to the need of mass-producing test cases and providing a test oracle for it. This is often referred to as the oracle problem. One method that has been proposed in order to alleviate the oracle problem is metamorphic testing. Metamorphic testing produces new test cases by altering an existing test case, and uses the metamorphic relation between the inputs and the outputs of the System Under Test (SUT) to predict the expected outputs of the produced test cases. Metamorphic testing has often been used for image processing software, where changes are applied to the image's attributes to create new test cases with annotations that are the same as the original image. We refer to this existing method as the image-based metamorphic testing. In this research, we propose an object-based metamorphic testing and a composite metamorphic testing which combines different metamorphic testing approaches to relatively increase test coverage.
