{"id":155840,"date":"2006-01-01T00:00:00","date_gmt":"2006-01-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/mock-object-generation-with-behavior\/"},"modified":"2018-10-16T20:08:27","modified_gmt":"2018-10-17T03:08:27","slug":"mock-object-generation-with-behavior","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/mock-object-generation-with-behavior\/","title":{"rendered":"Mock-object generation with behavior"},"content":{"rendered":"
\n

Unit testing is a popular way to guide software development and testing. Each unit test should target a single feature, but in practice it is difficult to test features in isolation. Mock objects are a well-known technique to substitute parts of a program which are irrelevant for a particular unit test. Today mock objects are usually written manually supported by tools that generate method stubs or distill behavior from existing programs. We have developed a prototype tool based on symbolic execution of .NET code that generates mock objects including their behavior by analyzing all uses of the mock object in a given unit test. It is not required that an actual implementation of the mocked behavior exists. We are working towards an integration of our tool into Visual Studio Team System<\/p>\n<\/div>\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

Unit testing is a popular way to guide software development and testing. Each unit test should target a single feature, but in practice it is difficult to test features in isolation. Mock objects are a well-known technique to substitute parts of a program which are irrelevant for a particular unit test. Today mock objects are […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-155840","msr-research-item","type-msr-research-item","status-publish","hentry","msr-locale-en_us"],"msr_publishername":"IEEE Computer Society","msr_edition":"Automated Software Engineering, 2006. 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