A research team from Leiden University is looking into the use of software engineering practices by teams that develop applications with machine learning components (SE4ML).

The team needs help from software engineers to respond to a survey that would help them to define engineering practices for ML applications. Your responses will help the researchers to systematically set up the best-practices for building high-quality machine learning applications.

The survey takes about 10 minutes and it does not collect any personal information. The lessons learned from the survey will be shared freely.

Link to the survey: https://leidenuniv.eu.qualtrics.com/jfe/form/SV_4ShLfuUn3bh7Qm9
 

This is a following up survey from February 2020’s first survey among practitioners to measure the adoption of best practices and their effects, and published the results in a conference paper​​.

Based on feedback the researchers revised the survey, this time, to improve coverage of ethical aspects, explainability, security, AutoML, and more. With this new online survey, the researchers want to measure the adoption of the best practices among practitioners, as well as the change in adoption since the previous survey.

For more info about this survey and its related activities:

Blog post describing the project, results for AutoML adoption and more: https://se-ml.github.io/blog/2020/automl/

Project website: https://se-ml.github.io/

Specific subpage for the survey: https://se-ml.github.io/survey/