Brussels / 2 & 3 February 2019

schedule

ML on Code devroom

Room: H.2213
Calendar: iCal, xCal


09 10 11 12 13 14 15 16 17 18
Sunday Understanding Source Code with Deep Learning Suggesting Fixes during Code Review with ML Astor: An automated software repair framework Code anomalies in Kotlin programs
Automatic detection of anomalous code fragments written in Kotlin		 Predicting areas for PR Comments based on Code Vectors & Mailing List Data Deduplication on large amounts of code
Fuzzy deduplication of PGA using source{d} stack		 Neural commit message suggester
Proposing git commit messages with neural networks		 Mining Source Code^3
Mining Idioms, Usages and Edits		 Coming: a Tool for Mining Change Pattern Instances from Git Commits How to build an automatic refactoring and migration toolkit Smelling Source Code Using Deep Learning
Event Speakers Start End

Sunday
  Understanding Source Code with Deep Learning Miltos Allamanis 09:10 09:50
  Suggesting Fixes during Code Review with ML Vadim Markovtsev 09:50 10:30
  Astor: An automated software repair framework Matias Martinez 10:30 11:10
  Code anomalies in Kotlin programs
Automatic detection of anomalous code fragments written in Kotlin		 Timofey Bryksin 11:10 11:50
  Predicting areas for PR Comments based on Code Vectors & Mailing List Data Holden Karau, Kris Nova 11:50 12:30
  Deduplication on large amounts of code
Fuzzy deduplication of PGA using source{d} stack		 Romain Keramitas 12:30 13:10
  Neural commit message suggester
Proposing git commit messages with neural networks		 Alberto Massidda 13:10 13:50
  Mining Source Code^3
Mining Idioms, Usages and Edits		 Dario Di Nucci 13:50 14:30
  Coming: a Tool for Mining Change Pattern Instances from Git Commits Matias Martinez 14:30 15:10
  How to build an automatic refactoring and migration toolkit Juliette Tisseyre 15:10 15:50
  Smelling Source Code Using Deep Learning Tushar Sharma 15:50 16:30