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ENCORE: Ensemble Learning using Convolution Neural Machine Translation for Automatic Program Repair
March 12, 2024, 4:44 a.m. | Thibaud Lutellier, Lawrence Pang, Viet Hung Pham, Moshi Wei, Lin Tan
cs.LG updates on arXiv.org arxiv.org
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
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