A Novel Relevance Aggregation Approach for Bug Localization
Author:
Affiliation:
1. School of Information and Communication Technology, HUST,Hanoi,Vietnam
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10471760/10471767/10471854.pdf?arnumber=10471854
Reference16 articles.
1. Learning to rank relevant files for bug reports using domain knowledge
2. Where should the bugs be fixed? More accurate information retrieval-based bug localization based on bug reports
3. Mapping Bug Reports to Relevant Files: A Ranking Model, a Fine-Grained Benchmark, and Feature Evaluation
4. Multi-Dimension Convolutional Neural Network for Bug Localization
5. An Imbalanced Deep Learning Model for Bug Localization
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