31 citations · 140 across the 16 of their papers we have counts for
6 papers · 1 filter
Software Engineering Practice in the Development of Deep Learning Applications
Xufan Zhang, Yilin Yang, Yang Feng +1
Deep-Learning(DL) applications have been widely employed to assist in various tasks. They are constructed based on a data-driven programming paradigm that is different from convent…
Mutation Testing for Ethereum Smart Contract
Haoran Wu, Xingya Wang, Jiehui Xu +3
Smart contract is a special program that manages digital assets on blockchain. It is difficult to recover the loss if users make transactions through buggy smart contracts, which c…
From Data Quality to Model Quality: an Exploratory Study on Deep Learning
Tianxing He, Shengcheng Yu, Ziyuan Wang +2
Nowadays, people strive to improve the accuracy of deep learning models. However, very little work has focused on the quality of data sets. In fact, data quality determines model q…
A Preliminary Study on Data Augmentation of Deep Learning for Image Classification
Benlin Hu, Cheng Lei, Dong Wang +2
Deep learning models have a large number of freeparameters that need to be calculated by effective trainingof the models on a great deal of training data to improvetheir generaliza…
NeuralVis: Visualizing and Interpreting Deep Learning Models
Xufan Zhang, Ziyue Yin, Yang Feng +3
Deep Neural Network(DNN) techniques have been prevalent in software engineering. They are employed to faciliatate various software engineering tasks and embedded into many software…
DeepGini: Prioritizing Massive Tests to Enhance the Robustness of Deep Neural Networks
Yang Feng, Qingkai Shi, Xinyu Gao +3
Deep neural networks (DNN) have been deployed in many software systems to assist in various classification tasks. In company with the fantastic effectiveness in classification, DNN…