RunBugRun -- An Executable Dataset for Automated Program Repair

Understand

Recently, we can notice a transition to data-driven techniques in Automated Program Repair (APR), in particular towards deep neural networks.

• This entails training on hundreds of thousands or even millions of non-executable code fragments.
• We would like to bring more attention to an aspect of code often neglected in Neural Program Repair (NPR), namely its execution.
• Code execution has several significant advantages.