Improving code readability classification using convolutional neural networks
Improving code readability classification using convolutional neural networks is a scholarly work, published in 2018 in ''Information and Software Technology''. The main subjects of the publication include task, reliability engineering, pattern recognition, Construct, computer science, deep learning, artificial intelligence, convolutional neural network, source code, natural language processing, feature, machine learning, readability, software engineering, feature extraction, text simplification, code, and feature engineering. The authors first introduce a representation strategy (with different granularities) to transform source codes into integer matrices as the input to ConvNets.