Learning to Predict User-Defined Types

Author:

Jesse Kevin1ORCID,Devanbu Premkumar T.1ORCID,Sawant Anand1ORCID

Affiliation:

1. Department of Computer Science, University of California, Davis, CA, USA

Funder

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Software

Reference64 articles.

1. Learning type annotation: is big data enough?

2. End-To-End Multi-Task Learning With Attention

3. OptTyper: Probabilistic type inference by optimising logical and natural constraints;pandi,2020

4. Multi-task Learning based Pre-trained Language Model for Code Completion;liu;IEEE/ACM Int Conference on Automated Software Engineering (ASE),2020

5. Type4py: Deep similarity learning-based type inference for Python;mir,2021

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1. Learning Type Inference for Enhanced Dataflow Analysis;Lecture Notes in Computer Science;2024

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