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

This record contains research artifacts of our paper. The description of each file is as follows. case_study.xlsx: a spreadsheet that contains a list of our detected cases and results of our manual inspection java-large+.tar.gz: a preprocessed dataset used for training our detection model model_parameters.ckpt.gz: trained parameters and a word dictionary of our neural network model src.tar.gz: source code of our neural network model written in Python and a dataset preprocessor written in Java本数据集收录本论文配套的研究产出物，各文件说明如下： case_study.xlsx：一款电子表格，包含本团队检测得到的案例列表与人工核验结果。 java-large+.tar.gz：用于训练本团队检测模型的预处理数据集。 model_parameters.ckpt.gz：本团队神经网络模型的训练参数与词表（word dictionary）。 src.tar.gz：包含本团队使用Python编写的神经网络模型源代码，以及使用Java编写的数据集预处理程序。