HDA: Cross-Project Defect Prediction via Heterogeneous Domain Adaptation With Dictionary Learning
HDA: Cross-Project Defect Prediction via Heterogeneous Domain Adaptation With Dictionary Learning is a scholarly work, published in 2018 in ''IEEE Access''. The main subjects of the publication include measure, reliability engineering, reuse, ocular adaptation, Construct, data mining, agile software development, artificial intelligence, computer science, labeled data, software engineering, graph dimension, machine learning, feature, Domain Adaptation, cross-validation, and domain. The authors propose a novel HCPDP method called Heterogeneous Domain Adaptation (HDA) to address the issue.