Directed test suite augmentation: an empirical investigation

摘要: Test suite augmentation techniques are used in regression testing to identify code elements a modified program that not adequately tested and generate test cases cover those elements. A defining feature of is the potential for reusing existing suites. Our preliminary work suggests several factors influence efficiency effectiveness perform such reuse. These include order which target considered while generating cases, manner newly generated used, algorithm cases. In this work, we present results two empirical studies examining these factors, considering case generation algorithms concolic genetic. The our show primary factor affecting using approaches utilized; affects both cost effectiveness. utilized also has substantial effect on some turns out have relatively few effects when but influences genetic generation. first study, four small programs large number suites, supported by second study much larger available multiple versions. Together, reveal opportunity creating more cost-effective hybrid approach leveraging techniques, appropriately utilizing understanding affect them. Copyright © 2014 John Wiley & Sons, Ltd.