Data Generation for Path Testing
We present two stochastic search algorithms for generating test cases that execute specified paths in a program. The two algorithms are: a simulated annealing algorithm (SA), and a genetic algorithm (GA). These algorithms are based on an optimization formulation of the path testing problem which inc...
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| Format: | article |
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2004
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| Online Access: | http://hdl.handle.net/10725/2967 http://dx.doi.org/10.1023/B:SQJO.0000024059.72478.4e http://link.springer.com/article/10.1023/B:SQJO.0000024059.72478.4e |
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