8 citations · 16 across the 6 of their papers we have counts for
5 papers · 1 filter
DependEval: Benchmarking LLMs for Repository Dependency Understanding
Junjia Du, Yadi Liu, Hongcheng Guo +4
While large language models (LLMs) have shown considerable promise in code generation, real-world software development demands advanced repository-level reasoning. This includes un…
TypeEvalPy: A Micro-benchmarking Framework for Python Type Inference Tools
Ashwin Prasad Shivarpatna Venkatesh, Samkutty Sabu, Jiawei Wang +3
In light of the growing interest in type inference research for Python, both researchers and practitioners require a standardized process to assess the performance of various type…
Scalpel: The Python Static Analysis Framework
Li Li, Jiawei Wang, Haowei Quan
Despite being the most popular programming language, Python has not yet received enough attention from the community. To the best of our knowledge, there is no general static analy…
Restoring Execution Environments of Jupyter Notebooks
Jiawei Wang, Li Li, Andreas Zeller
More than ninety percent of published Jupyter notebooks do not state dependencies on external packages. This makes them non-executable and thus hinders reproducibility of scientifi…
Better Code, Better Sharing:On the Need of Analyzing Jupyter Notebooks
Jiawei Wang, Li Li, Andreas Zeller
By bringing together code, text, and examples, Jupyter notebooks have become one of the most popular means to produce scientific results in a productive and reproducible way. As ma…