Publication: Workflow analysis of data science code in public GitHub repositories
Workflow analysis of data science code in public GitHub repositories
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Ramasamy, D., Sarasua, C., Bacchelli, A., & Bernstein, A. (2022). Workflow analysis of data science code in public GitHub repositories. Empirical Software Engineering, 28, 7. https://doi.org/10.1007/s10664-022-10229-z
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Despite the ubiquity of data science, we are far from rigorously understanding how coding in data science is performed. Even though the scientific literature has hinted at the iterative and explorative nature of data science coding, we need further empirical evidence to understand this practice and its workflows in detail. Such understanding is critical to recognise the needs of data scientists and, for instance, inform tooling support. To obtain a deeper understanding of the iterative and explorative nature of data science coding, we
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Ramasamy, D., Sarasua, C., Bacchelli, A., & Bernstein, A. (2022). Workflow analysis of data science code in public GitHub repositories. Empirical Software Engineering, 28, 7. https://doi.org/10.1007/s10664-022-10229-z
