Adaptive Random Testing (ART)

Professor T. Y. Chen

Software Engineering, Swinburne University of Technology

Date and time: 11.30am-12.30pm, Friday 21st October, 2005

Venue: 10.08.04

Abstract:

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 will cover

1. the motivation;

2. failure pattern based testing;

3. various principles that could enforce an even spread of test cases, and the advantages and disadvantages of their corresponding ART implementations; and

4. comparison of random testing and adaptive random testing with respect to various testing effectiveness measures.

About the speaker:

Dr. T. Y. Chen obtained his BSc and MPhil. from the University of Hong Kong, MSc and DIC from the Imperial College of Science and Technology, and PhD from the University of Melbourne. He is currently a Professor of Software Engineering at the Swinburne University of Technology. Prior to joining Swinburne, he has taught at the University of Hong Kong and University of Melbourne. He is currently a Member of the Australian Research Council's College of Experts. His research interests cover software testing, debugging and software maintenance. He has been enlisted as one of the most publishable scholars in the field of Systems and Software Engineering for several times.

Seminar Organisation

Seminars are free and open to the general public. No booking is necessary. If you are interested in giving a presentation in this seminar series, or to make suggestions for speakers, please contact Xiaodong Li, the seminar co-ordinator.