A computational complexity analysis of tunable type inference for Generic Universe Types-Reference-Cited by-同舟云学术

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A computational complexity analysis of tunable type inference for Generic Universe Types

Published:2020-04 Issue: Volume:814 Page:189-209
ISSN:0304-3975
Container-title:Theoretical Computer Science
language:en
Short-container-title:Theoretical Computer Science

Author:

Juma Nahid^ORCID,Dietl Werner,Tripunitara Mahesh

Publisher

Elsevier BV

Subject

General Computer Science,Theoretical Computer Science

Reference24 articles.

1. Generic Universe Types;Dietl,2007

2. Tunable static inference for Generic Universe Types;Dietl,2011

3. Object ownership in program verification;Dietl,2012

4. Pluggable type systems;Bracha,2004

5. Inference and checking of object ownership;Huang,2012

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. OppropBERL: A GNN and BERT-Style Reinforcement Learning-Based Type Inference;2024 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER);2024-03-12

2. Precise inference of expressive units of measurement types;Proceedings of the ACM on Programming Languages;2020-11-13

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