ENCORE: Ensemble Learning using Convolution Neural Machine Translation for Automatic Program Repair

arXiv:1906.08691v2 Announce Type: replace-cross
Abstract: Automated generate-and-validate (G&V) program repair techniques typically rely on hard-coded rules, only fix bugs following specific patterns, and are hard to adapt to different programming languages. We propose ENCORE, a new G&V technique, which uses ensemble learning on convolutional neural machine translation (NMT) models to automatically fix bugs in multiple programming languages.
We take advantage of the randomness in hyper-parameter tuning to build multiple models that fix different bugs and combine them using ensemble learning. …

abstract adapt arxiv automated bugs convolution cs.lg cs.se ensemble generate languages machine machine translation neural machine translation patterns programming programming languages rules translation type