{"title":"Automated metamorphic testing","authors":"A. Gotlieb, Bernard Botella","doi":"10.1109/CMPSAC.2003.1245319","DOIUrl":null,"url":null,"abstract":"Usual techniques for automatic test data generation are based on the assumption that a complete oracle will be available during the testing process. However, there are programs for which this assumption is unreasonable. Recently, Chen et al. (1998, 2001) proposed to overcome this obstacle by using known relations over the input data and their unknown expected outputs to seek a subclass of faults inside the program. In this paper, we introduce an automatic testing framework able to check these so-called metamorphic relations. The framework makes use of constraint logic programming techniques to find test data that violate a given metamorphic-relation. Circumstances where it can also prove that the program satisfies this relation are presented. The first experimental results we got with a prototype tool build on the top of the test data generator INKA, show that this methodology can be completely automated.","PeriodicalId":173397,"journal":{"name":"Proceedings 27th Annual International Computer Software and Applications Conference. COMPAC 2003","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"114","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 27th Annual International Computer Software and Applications Conference. COMPAC 2003","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CMPSAC.2003.1245319","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 114

Abstract

Usual techniques for automatic test data generation are based on the assumption that a complete oracle will be available during the testing process. However, there are programs for which this assumption is unreasonable. Recently, Chen et al. (1998, 2001) proposed to overcome this obstacle by using known relations over the input data and their unknown expected outputs to seek a subclass of faults inside the program. In this paper, we introduce an automatic testing framework able to check these so-called metamorphic relations. The framework makes use of constraint logic programming techniques to find test data that violate a given metamorphic-relation. Circumstances where it can also prove that the program satisfies this relation are presented. The first experimental results we got with a prototype tool build on the top of the test data generator INKA, show that this methodology can be completely automated.
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自动化变形测试
通常的自动测试数据生成技术是基于一个完整的oracle在测试过程中可用的假设。然而,对于某些程序,这种假设是不合理的。最近,Chen等人(1998,2001)提出通过使用输入数据上的已知关系及其未知预期输出来寻找程序内部故障的子类来克服这一障碍。在本文中,我们引入了一个能够检测这些所谓的变质关系的自动测试框架。该框架利用约束逻辑编程技术来查找违反给定变质关系的测试数据。给出了可以证明程序满足这一关系的情形。我们使用基于测试数据生成器INKA的原型工具获得的第一个实验结果表明,该方法可以完全自动化。
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