Predicting Software Faults in Large Space Systems using Machine Learning Techniques

Bhekisipho Twala · Defence Science Journal · 2011

Recently, the use of machine learning (ML) algorithms has proven to be of great practical value in solving a variety of engineering problems including the prediction of failure, fault, and defect-proneness as the space system software becomes complex. One of the most active areas of recent research in ML has been the use of ensemble

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