Leveraging product relationships to generate candidate bugs for duplicate bug prediction
Emily Su, Sameer Joshi · 2018
Adaptive Bug Search (ABS) is a service developed by Oracle that uses machine learning to find potential duplicate bugs for a given input bug. ABS leverages the product and component relationships of existing duplicate bug pairs to limit the set of candidate bugs in which it searches for potential duplicates. In this paper, we discuss various approaches for selecting and refining the set of candidate bugs.