Research Artifacts - An Anomaly-based Approach for Detecting Modularity Violations on Method Placement

<p>This record&nbsp;contains research artifacts of our paper.</p> <p>The description of each file is as follows.</p> <ul> <li>case_study.xlsx: a spreadsheet that contains a list of our detected cases and results of our manual inspection</li> <li>java-large+.tar.gz: a preprocessed dataset used for training our detection model</li> <li>model_parameters.ckpt.gz: trained parameters and a word dictionary of our neural network model</li> <li>src.tar.gz: source code of our neural network model written in Python and a dataset preprocessor written in Java</li> </ul>