Feb 8, 2023 · Title:CCRep: Learning Code Change Representations via Pre-Trained Code Model and Query Back ; Subjects: Software Engineering (cs.SE); Artificial ...
Feb 8, 2023 · To fill this gap, this work proposes a novel Code Change Representation learning approach named CCRep, which can learn to encode code changes as ...
Representing code changes as numeric feature vectors, i.e., code change representations, is usually an essential step to automate many software engineering ...
Feb 8, 2023 · This part leverages a pre- trained code model to obtain the contextual embedding of each token in Tb and Ta, respectively. Query-Back Mechanism.
[PDF] CCRep: Learning Code Change Representations via Pre-Trained ...
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This work proposes a novel Code Change Representation learning approach named CCRep, which can learn to encode code changes as feature vectors for diverse ...
CCRep: Learning Code Change Representations via Pre-Trained Code Model and Query Back ... The open source code, pre-trained models and post-trained models are ...
Feb 8, 2023 · Representing code changes as numeric feature vectors, i.e., code change representations, is usually an essential step to automate many ...
CCRep CCRep Public. The replication package of "CCRep: Learning Code Change Representations via Pre-Trained Code Model and Query Back"" · PDBERT PDBERT Public.
To fill this gap, this work proposes a novel Code Change Representation learning approach named CCRep, which can learn to encode code changes as feature vectors ...
Representing code changes as numeric feature vectors, i.e., code change representations, is usually an essential step to automate many software engineering ...