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ISSTA
2007
ACM

Experimental assessment of random testing for object-oriented software

9 years 11 months ago
Experimental assessment of random testing for object-oriented software
Progress in testing requires that we evaluate the effectiveness of testing strategies on the basis of hard experimental evidence, not just intuition or a priori arguments. Random testing, the use of randomly generated test data, is an example of a strategy that the literature often deprecates because of such preconceptions. This view is worth revisiting since random testing otherwise offers several attractive properties: simplicity of implementation, speed of execution, absence of human bias. We performed an intensive experimental analysis of the efficiency of random testing on an existing industrial-grade code base. The use of a large-scale cluster of computers, for a total of 1500 hours of CPU time, allowed a fine-grain analysis of the individual effect of the various parameters involved in the random testing strategy, such as the choice of seed for a random number generator. The results provide insights into the effectiveness of random testing and a number of lessons for testing ...
Ilinca Ciupa, Andreas Leitner, Manuel Oriol, Bertr
Added 26 Oct 2010
Updated 26 Oct 2010
Type Conference
Year 2007
Where ISSTA
Authors Ilinca Ciupa, Andreas Leitner, Manuel Oriol, Bertrand Meyer
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