11 citations · 18 across the 5 of their papers we have counts for
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cs.DC2023★ 11 cited
Large Language Models to the Rescue: Reducing the Complexity in Scientific Workflow Development Using ChatGPT
Mario Sänger, Ninon De Mecquenem, Katarzyna Ewa Lewińska +4
Scientific workflow systems are increasingly popular for expressing and executing complex data analysis pipelines over large datasets, as they offer reproducibility, dependability,…
cs.DC2023★ 1 cited
Validity Constraints for Data Analysis Workflows
Florian Schintke, Ninon De Mecquenem, David Frantz +9
Porting a scientific data analysis workflow (DAW) to a cluster infrastructure, a new software stack, or even only a new dataset with some notably different properties is often chal…