A random forest learning-to-rank model using past co-change history and code features ranks co-changed methods with NDCG@5 of 0.84, but its edge over a historical frequency baseline is only 4.7%.
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Enhancing Software Maintenance: A Learning to Rank Approach for Co-changed Method Identification
A random forest learning-to-rank model using past co-change history and code features ranks co-changed methods with NDCG@5 of 0.84, but its edge over a historical frequency baseline is only 4.7%.