7 citations · 9 across the 4 of their papers we have counts for
4 papers
CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks
Meng Li, Timothy M. McPhillips, Dingmin Wang +2
Recognizing the information flows and operations comprising data science and machine learning Python notebooks is critical for evaluating, reusing, and adapting notebooks for new t…
Toward Enabling Reproducibility for Data-Intensive Research using the Whole Tale Platform
Kyle Chard, Niall Gaffney, Mihael Hategan +9
Whole Tale http://wholetale.org is a web-based, open-source platform for reproducible research supporting the creation, sharing, execution, and verification of "Tales" for the scie…
Validation and Inference of Schema-Level Workflow Data-Dependency Annotations
Shawn Bowers, Timothy McPhillips, Bertram Ludäscher
An advantage of scientific workflow systems is their ability to collect runtime provenance information as an execution trace. Traces include the computation steps invoked as part o…
YesWorkflow: A User-Oriented, Language-Independent Tool for Recovering Workflow Information from Scripts
Timothy McPhillips, Tianhong Song, Tyler Kolisnik +17
Scientific workflow management systems offer features for composing complex computational pipelines from modular building blocks, for executing the resulting automated workflows, a…