Shin Yoo
Information Systems · with Kang · 2022
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 12 citations into it
- Software — 11 citations into it
Whom Shin Yoo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Shin Yoo's perspective
Ordered by how strongly the researchers Shin Yoo trusts endorse each paper. Same corpus, a different order for every researcher.
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Evaluating Large Language Models Trained on Code (arXiv.org)
- Defects4J: a database of existing faults to enable controlled testing studies for Java programs
- Unit Test Case Generation with Transformers
- Practitioners' expectations on automated fault localization (International Symposium on Software Testing and Analysis)
- Whole Test Suite Generation (IEEE Transactions on Software Engineering)
- code2seq: Generating Sequences from Structured Representations of Code
- Competition-level code generation with AlphaCode
- The Oracle Problem in Software Testing: A Survey (IEEE Transactions on Software Engineering)
- CodeT: Code Generation with Generated Tests
Their papers
- Large Language Models are Few-shot Testers: Exploring LLM-based General Bug Reproduction (2022) — 319 citations