LaF: Labeling-free model selection for automated deep neural network reusing

by HU, Qiang, GUO, Yuejun, XIE, Xiaofei, CORDY, Maxime, PAPADAKIS, Mike, TRAON, Yves Le
Published 2023

KAPE: kNN-based performance testing for deep code search

by GUO, Yuejun, HU, Qiang, XIE, Xiaofei, MAXIME, Cordy, PAPADAKIS, Mike, LE TRAON, Yves
Published 2023

An empirical study on data distribution-aware test selection for deep learning enhancement

by HU, Qiang, GUO, Yuejun, CORDY, Maxime, XIE, Xiaofei, MA, Lei, PAPADAKIS, Mike, LE TRAON, Yves
Published 2022

Aries: Efficient testing of deep neural networks via labeling-free accuracy estimation

by HU, Qiang, GUO, Yuejun, XIE, Xiaofei, CORDY, Maxime, MA, Lei, PAPADAKIS, Mike, LE TRAON, Yves
Published 2023

CodeS: Towards code model generalization under distribution shift

by HU, Qiang, GUO, Yuejun, XIE, Xiaofei, CORDY, Maxime, MA, Lei, PAPADAKIS, Mike, TRAON, Yves Le
Published 2023

Active code learning: Benchmarking sample-efficient training of code models

by HU, Qiang, GUO, Yuejun, XIE, Xiaofei, CORDY, Maxime, MA, Lei, PAPADAKIS, Mike, TRAON, Yves Le
Published 2024

Test optimization in DNN testing: A survey

by HU, Qiang, GUO, Yuejun, XIE, Xiaofei, CORDY, Maxime, MA, Lei, PAPADAKIS, Mike, LE TRAON, Yves
Published 2024

GraphCode2Vec: Generic code embedding via lexical and program dependence analyses

by MA, Wei, ZHAO, Mengjie, SOREMEKUN, Ezekiel, HU, Qiang, ZHANG, Jie M., PAPADAKIS, Mike, CORDY, Maxime, Xiaofei XIE, LE TRAON, Yves
Published 2022