Journal ArticleDOI
Comment on "When to Use Random Testing"
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This correspondence indicates a weakness in forming the criteria used to decide when random testing is practical, and the use of average fan-in based on total gate count is an oversimplification and results in too low a threshold for use of random testing.Abstract:
This correspondence indicates a weakness in forming the criteria used to decide when random testing is practical. The use of average fan-in based on total gate count is an oversimplification and results in too low a threshold for use of random testing in lieu of a complete test of 2N patterns. A modification is given to avoid this difficulty.read more
Citations
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Proceedings ArticleDOI
Lattice-based adaptive random testing
TL;DR: A new ART algorithm is presented that has a better performance than all other ART methods for the block failure pattern and its runtime is linear in the number of test cases selected, which is nearly as efficient as pure random testing, as opposed to most otherART methods.
Journal ArticleDOI
A Novel Evolutionary Approach for Adaptive Random Testing
Andrew F. Tappenden,James Miller +1 more
TL;DR: The evolutionary approach was found to be superior to FSCS, RRT, Sobol, and RT amongst block patterns, the arena in which F SCS, and RRT have demonstrated the most appreciable gains in testing effectiveness.
Journal ArticleDOI
Centroidal Voronoi Tessellations- A New Approach to Random Testing
TL;DR: A test case generation method, namely, Random Border CVT (RBCVT), is proposed which can enhance the previous RT methods to improve their coverage of the input space and demonstrates that RBCVT outperforms previous methods.
Test oracles using statistical methods
Johannes Mayer,Ralph Guderlei +1 more
TL;DR: The presented Statistical Oracle is a Heuristic Oracle using statistical methods, especially statistical tests, in case there are explicit formulae for the mean, the distribution, and so on, of characteristics computable from the test result.
On testing image processing applications with statistical methods
TL;DR: The present paper applies random testing using models from stochastic geometry for random input generation and the Statistical Oracle, a modification of the well-known Heuristic resp.
References
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Journal ArticleDOI
When to Use Random Testing
TL;DR: A probabilistic method for deciding whether a combinational circuit should be tested by random inputs, is given, based upon certain easily observable circuit parameters.