FOSDEM 2019: ML on Code room recap
As you may know by now, attending FOSDEM, the Free and Open Source Software Developers’ European Meeting, has been a source{d} tradition for the past 3 or 4 years. 2019 was no exception and most of the source{d} team came to Brussels to participate and contribute to one of our favorite conferences.
In addition to the Go room, the source{d} team helped organize a Machine Learning on Code (ML on Code) room to bring together the professors, researchers, practitioners interested in the topic of Machine Learning on Code. With a room capacity of 100 attendees and given the number of people standing in the aisles, we’re quite pleased to see the level of interest from the open source community. Big shout out to our very own Francesc Campoy and Seoul Engineer who stepped up as devroom managers and helped select an amazing speaker lineup and organize all the logistics.
This blog post is a recap of the talks that took place in the ML on Code devroom. Check out this twitter thread below to see pictures of all the speakers and the topics they covered.
Below you’ll find a list of all the sessions including the videos and slides:
- Understanding Source Code with Deep Learning by Miltos Allamanis (🎥 / 📈)
- Suggesting Fixes during Code Review with ML by Vadim Markovtsev (🎥 / 📈)
- Astor: An automated software repair framework by Matias Martinez (🎥 / 📈)
- Code anomalies in Kotlin programs by Timofey Bryksin (🎥 / 📈)
- Predicting areas for PR Comments based on Code Vectors & Mailing List Data by Holden Karau and Kris Nova (🎥 / 📈)
- Deduplication on large amounts of code by Romain Keramitas (🎥 / 📈)
- Neural commit message suggester by Alberto Massidda (🎥 / 📈)
- Mining Source Code by Dario Di Nucci (🎥 / 📈)
- Coming: a Tool for Mining Change Pattern Instances from Git Commits by Matias Martinez (🎥 / 📈)
- How to build an automatic refactoring and migration toolkit by Juliette Tisseyre (🎥 / 📈)
- Smelling Source Code Using Deep Learning by Tushar Sharma (🎥 / 📈)
A HUGE thanks to all the speakers, we really appreciate you taking the time to share your knowledge with the local community. We hope to see you all next year at FOSDEM 2020.
If you have a talk related to ML on Code, let us know! Some of our team members are currently organizing the ML on Code meetup groups in San Francisco and Madrid.
Are you a Machine Learning engineer looking for a new challenge? Check out our careers page, we have a lot of job openings!
Learn more about source{d}:
- Watch source{d} Engine in 5 minutes video
- Check out the source{d} Engine repository on GitHub
- Sign up for our upcoming Online Meetup
- Join the source{d} Community Slack
