Siyue Wang, Xiao Wang, et al.
IJCAI 2021
Computational notebooks allow data scientists to express their ideas through a combination of code and documentation. However, data scientists often pay attention only to the code and neglect the creation of the documentation in a notebook. In this work, we present a human-centered automation system, Themisto, that can support users to easily create documentation via three approaches: 1) We have developed and reported a GNN-augmented code documentation generation algorithm in a previous paper, which can generate documentation for a given source code; 2) Themisto also implements a query-based approach to retrieve the online API documentation as the summary for certain types of source code; 3) Lastly, Themisto also enables a user prompt approach to motivate users to write documentation for some use cases that automation does not work well.
Siyue Wang, Xiao Wang, et al.
IJCAI 2021
Oznur Alkan, Massimilliano Mattetti, et al.
INFORMS 2020
Alexander Tuisov, Michael Katz
IJCAI 2021
Casey Dugan, Werner Geyer, et al.
CHI 2010