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This paper presents an automated tool called Morphy for datamorphic testing.It classifies software test artefacts into test entities and test morphisms,which are mappings on testing entities. In addition to datamorphisms,metamorphisms and seed test case makers, Morphy also employs a set of othertest morphisms including test case metrics and filters, test set metrics andfilters, test result analysers and test executers to realise test automation.In particular, basic testing activities can be automated by invoking testmorphisms. Test strategies can be realised as complex combinations of testmorphisms. Test processes can be automated by recording, editing and playingtest scripts that invoke test morphisms and strategies. Three types of teststrategies have been implemented in Morphy: datamorphism combinationstrategies, cluster border exploration strategies and strategies for test setoptimisation via genetic algorithms. This paper focuses on the datamorphismcombination strategies by giving their definitions and implementationalgorithms. The paper also illustrates their uses for testing both traditionalsoftware and AI applications with three case studies.

Morphy: A Datamorphic Software Test Automation Tool