Adaptive Random Testing November 15, 2006

Software testing is the most practical approach to ensure the quality of a software. Random testing is a basic testing technique that can be used alone or as a core technique for many test methods. Recently, we have proposed to improve the fault-detection capability of random testing by enforcing a more even, well-spread distribution of test cases over the input domain. Such an approach is named as adaptive random testing. In this seminar, we are going to report various methods to implement ART, their fault detection capabilities and related problems.

About the speaker

T. Y. Chen got his BSc and MPhil from The University of Hong Kong, MSc and DIC from the Imperial College of Science, and PhD from The University of Melbourne. He is a Professor of Software Engineering at Swinburne University of Technology in Australia. Prior to joining Swinburne, he has taught at The University of Hong Kong and The University of Melbourne. His research interests include software testing, debugging and software maintenance. He is a member of the Editorial Board of the journal, Software Testing, Verification & Reliability. He is currently a member of the Australian Research Council’s College of Experts.

Official Website: http://www.inf.ethz.ch/news/events/details/index?id=806