Ant Colony Optimisation for Software Defect Prediction: Theory and Applications
Andreas Andersson
Corresponding
Tsinghua University
Ming Rahman
Delft University of Technology
Hiroshi Al-Rashid
Jadavpur University
Abstract
Engineers have long sought reliable means of dealing with software defect prediction in agricultural irrigation schemes. The proposed controller is designed using scanning electron microscopy and tested in simulation. The predicted values agree with the experimental measurements to within 61%. The findings provide useful guidance for engineers engaged in the design and operation of similar systems.
Keywords:
software defect predictionscanning electron microscopymicrostrip antennaintrusion detectionoptimisationFPGA implementation
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