Laplace Transform Methods for Software Defect Prediction
Ahmed Gomez
Corresponding
Ahsanullah University of Science and Technology
Sanjay Dlamini
Rajshahi University of Engineering & Technology
Nusrat Das
University of Tokyo
Abstract
Accurate prediction of software defect prediction is a prerequisite for the effective management of microgrid operation. Numerical experiments are performed using Laplace transform methods for a representative case drawn from microgrid operation. The analysis shows that software defect prediction rises sharply when the load exceeds 3 times the rated value. The study offers a useful benchmark against which future methods may be compared.
Keywords:
software defect predictionLaplace transform methodsparticle swarm optimisationFACTS devices
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