Dear All, the ML on Code devroom will take place on Sunday, 3 February 2019. Last year we organized a half-day Source Code Analysis devroom for the first time. This year, please join us to enjoy a full day of talks, demos and interesting discussions on applications of Machine Learning to Source Code Analysis. We welcome any talk proposals about applying advanced predictive analysis techniques like machine learning to the medium of source code. # Topics Topics of interest include, but are not limited to: - assisted code reviews - bug prediction - automated program repairing - language agnostic program representation - code synthesis - static code analysis - tests generation # Submission Please submit talks through https://penta.fosdem.org/submission/FOSDEM19 -> `Create Event` Make sure to select 'ML on Code devroom' as the 'Track’ and include the following in your proposal: - Title of your talk (will be printed in the FOSDEM booklet) - Your full name (will be printed in the FOSDEM booklet) - A short abstract (one or two paragraphs) The official devroom schedule (along with the accepted talks) will be announced on December 5th on the devroom mailing list and the speakers will be notified via email. # Organizers Alexander Bezzubov, Francesc Campoy # Important dates: - Nov 30th 2018: submission deadline for talk proposals - Dec 5th 2018: talks announced and speakers notified of acceptance - Dec 7th 2018: announcement of the final schedule - Feb 2nd 2019: FOSDEM! -- Alexander