|Journal of Systems and Software 83 (1): 60-66 (2010)
T.Y. Chen 2 , F.-C. Kuo 3, 4 , R.G. Merkel 3 , and T.H. Tse 5
Selected as Grand Champion of the Most Influential Paper Award by
Journal of Systems and Software
JSS Editor's Selection
| grand champion of most influential paper award]
Random testing is not only a useful testing technique in itself, but
also plays a core role in many other testing methods.
significant improvement to random testing has an impact throughout
the software testing community.
Adaptive Random Testing
(ART) has been proposed as an effective alternative to random testing.
This paper presents a synthesis of the most
important research results related to ART.
In the course of our
research and through further reflection, we have realized how the
techniques and concepts of ART can be applied in a much broader
context, which we present here.
We believe such ideas can be
applied in a variety of areas in software testing, and even beyond
Amongst these ideas, we particularly note the
fundamental role of diversity in test case selection strategies.
We hope this paper serves to provoke further discussions and
investigations of these ideas.
Keywords: software testing, random testing, adaptive random testing, adaptive random sequence, failure-based testing, failure pattern
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