M. Roper. CAST with GAs (genetic algorithms)| automatic test data generation via evolutionary computation. In IEE Colloquium on Computer Aided Software Testing Tools, April 1996. Home/Search Document Not in Database Summary Related Articles |
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Rebelling against the crowd: Qualitative Example-Finding using.. - Johnson (Correct)
....optimization criteria) as been investigated in [20] Other examples can be drawn from computer science applications. In a software testing situation we would like to create a wide variety of test scenarios which probe into di erent parts of the program. Metaheuristic approaches such as GAs [24] and simulated annealing [26] have been used for the generation of test data have already proven valuable, however in this work there is no explicit strategy for encouraging a diverse exploration of the appropriate space, it is assumed that this will arise from random choice of starting points. ....
M. Roper. CAST with GAs (genetic algorithms)| automatic test data generation via evolutionary computation. In IEE Colloquium on Computer Aided Software Testing Tools, April 1996.
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