Research Artifacts - An Anomaly-based Approach for Detecting Modularity Violations on Method Placement
Anonymous · Zenodo (CERN European Organization for Nuclear Research) · 2022
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