We want to invite you for an experiment with the goal of validating Julynter, a linting tool for Jupyter Notebooks. We developed Julynter as a joint work between UFF and NYU, and it aims to improve the quality and reproducibility of notebooks according to the best-practices we proposed in a recent study published in MSR (http://www.ic.uff.br/~leomurta/papers/pimentel2019a.pdf).

The experiment will be conducted remotely. You will just need to install a Python package, use Jupyter Lab for a week during the development of your own Python notebooks, and answer some questions later.

This form has only seven questions, and it only takes five minutes to answer. After the completion of this form, we will send instructions to your email indicating how to install the tool and configure it to track usage data, such as cell code, type of cell outputs, linting messages, and linting message ids. If you do not want to share this data with us, you can configure the tool accordingly.

We look forward to your participation!

We will not share your email address under any circumstances.