A fine-grained logging toolset and a 100-hour, 9,207-execution Jupyter notebook dataset show that developers mostly re-execute cells for iterative code fixes, not exploration.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.SE 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Observing Fine-Grained Changes in Jupyter Notebooks During Development Time
A fine-grained logging toolset and a 100-hour, 9,207-execution Jupyter notebook dataset show that developers mostly re-execute cells for iterative code fixes, not exploration.