Really interesting talk from @neilernst on using ML to analyze their codebase for issues. I'd like to see more of the techniques used there!
Things that help with scientific publishing of notebooks: Quarto, MyBinder, Jupyter Widgets, JupyterBook, Myst Markdown
Using cyclomatic complexity in code reviews. That would be an interesting experiment - I had no idea that CC was measurable in C++ code! Metrix++ is the relevant tool.
Metamorphic testing: transform the input to the application and verify that the result and the transformed result jibe
(I thought at first it was Metaphorical testing, which would have been interesting as well. Shaka, when the walls fell.)
Talk on software engineering an app - speaker mentions (among many things) using gcov and asan as part of the checks. I need to use those more.
FWIW, almost every vendor who's spoken this week has mentioned that they're hiring. If you happen to have been a victim of the LinkedIn or StackOverflow layoffs, maybe look into becoming an #RSEng
A talk on whether or not to put all your code in one repository or split it apart. Meh. Either way, I think it's all just subject to Conway's Law. #USRSE23
That was a really great question! RSE's often seem to be software engineers who learn the research - how do you bring in researchers who want to learn engineering?
Google Cloud speaker was confident enough to speak without a slide deck, kudos 😀 #USRSE23
First session topics:
Home | CyVerse
Tapis Project
CACAO-Cloud Automation | CyVerse
Single-Page apps for workflows
Likeness, A human population demographic simulator that I couldn't find anywhere
#USRSE23 kicking off. Mary Ann Leung is the first keynote.