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Machine learning has been broadly applied in different applications due to its satisfying performance. In security-related applications, e.g. facial recognition and fingerprint identification, an adversary misleads the pattern recognition system on purpose by manipulating training or test samples. Black-box attack is one of adversarial attacks which camouflages unseen samples to evade the detection...
Software defect prediction helps to optimize testing resources allocation by identifying defect-prone modules prior to testing. Most existing models build their prediction capability based on a set of historical data, presumably from the same or similar project settings as those under prediction. However, such historical data is not always available in practice. One potential way of predicting defects...
The prediction of software defect-fixing effort is important for strategic resource allocation and software quality management. Machine learning techniques have become very popular in addressing this problem and many related prediction models have been proposed. However, almost every model today faces a challenging issue of demonstrating satisfactory prediction accuracy and meaningful prediction results...
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