Regression Test Case Prioritization using Adaptive Cuckoo - Sharma, Priya
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We have proposed a flexible cuckoo search algorithm to address the problem. The existing cuckoo search algorithm doesn't possess any mechanism to control the stepsize during iterations, which may direct the algorithm to attain global minima or maxima. Here, we have attempted to incorporate a stepsize which is directly proportional to the fitness value of the cuckoo search at present iteration.Within our proposed work we will simulate a flexible cuckoo search algorithm to sort various issues. We will implement the approach in MATLAB [57] [60] and also examine the impact by applying the adaptive…mehr

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Produktbeschreibung
We have proposed a flexible cuckoo search algorithm to address the problem. The existing cuckoo search algorithm doesn't possess any mechanism to control the stepsize during iterations, which may direct the algorithm to attain global minima or maxima. Here, we have attempted to incorporate a stepsize which is directly proportional to the fitness value of the cuckoo search at present iteration.Within our proposed work we will simulate a flexible cuckoo search algorithm to sort various issues. We will implement the approach in MATLAB [57] [60] and also examine the impact by applying the adaptive cuckoo search using execution time, fitness function, cost and decide the best algorithm for regression tests using adaptive cuckoo search.
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Autorenporträt
Priya Sharma