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Using random test selection to gain confidence in modified softwareThis paper presents a method that addresses two prac-tical issues concerning the use of random test selection for regression testing: the number of random samples needed from the test suite to provide reliable results, and the con-fidence levels of the predictions...
général - core.ac.uk - PDF: pleuma.cc.gatech.edu
Modeling fault coverage of random test patterns... The parameters of the model are determined by fitting the fault simulation data obtained on an initial segment of the random test....
Dependence-guided random test generationRandom test generation is a promising and easy-to-use automatic test generation technique....
Feedback-based random test generator for tstl... We compared two advanced random test generators, a Feedback-Directed Random Test Generator (FDR) and a Feedback-Controlled Random Test Generator (FCR), for an automated software testing tool in Python...
Feedback-directed random test generationWe present a technique that improves random test generation by incorporating feedback obtained from executing test inputs as they are created....

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