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Is there opportunity for cross-pollination of your research with the spreadsheet literature?


Yes! Not only that, but with all of the end-user programming research. I did some studies on LabVIEW programmers before and I noticed a lot of the same phenomenon with data scientists. They have a lot of domain knowledge, some programming experience, but usually do not use software engineering best practices or tools (e.g., unit testing, code reviews, automated refactoring). All of this is very understandable but reveals a lot of potential for tools to better support them.

See Yestercode [1] and CodeDeviant [2], two tools that I specifically designed for LabVIEW programmers to refactor and test their code without expecting them to behave like traditional software engineers.

[1] http://web.eecs.utk.edu/~azh/pubs/Henley2016VLHCC_Yestercode...

[2] http://web.eecs.utk.edu/~azh/pubs/Henley2018VLHCC_CodeDevian...




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