activity
20192025
most citedBetter Code, Better Sharing:On the Need of Analyzing Jupyter Notebooks

8 citations · 16 across the 6 of their papers we have counts for

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Showing cs.SEShow all

5 papers · 1 filter

cs.SE2025

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…

cs.SE20244 cited

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…

cs.SE2022

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…

cs.SE20213 cited

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…

cs.SE20198 cited

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…