Starts 09:00 on Tuesday, May 28th, 2019

Introduction and Keynote

9:00 – 9:10 Opening

9:10 – 10:30 Industrial experience of Genetic Improvement in Facebook, Nadia Alshahwan

10:30 – 11:00 Break

Papers Session 1

11:00 – 1130 Leveraging Program Invariants to Promote Population Diversity in Search-Based Automatic Program Repair, Zhen Yu Ding, Yiwei Lyu, Christopher Timperley and Claire Le Goues

11:30 – 12:00 Better Code Search and Reuse for Better Program Repair, Qi Xin and Steven Reiss

12:00 – 12:20 Evolutionary Computation for Improving Malware Analysis, Kevin Leach, Ryan Dougherty, Chad Spensky, Stephanie Forrest and Westley Weimer

12:30 – 14:00 Lunch

Papers Session 2

14:00 – 14:30 Genetic Improvement of GPU Code, Jhe-Yu Liou, Stephanie Forrest and Carole-Jean Wu

14:30 – 14:50 Mining Patterns from Genetic Improvement Experiments, Oliver Krauss

14:50 – 15:10 Fuzzy Edit Sequences in Genetic Improvement, Aymeric Blot

15:10 – 15:10 Best Presentation Vote

15:30 – 16:00 Break

Discussion Session, Closing

16:00 – 17:10 Student talks, elevator pitches, discussions

17:10 – 17:20 Conclusions, wrap-up

17:20 – 17:30 Awards