Near-duplicate build failure detection analysis files and Oodikone dataset

Near-duplicate build failure detection analysis files and Oodikone datasetAll of the outputs, intermediate output files, as well as the scripts used for data analysis are included in this package.Before running any of the scripts, please create a virtual environment using Python 3.11 and install the python libraries in requirements.txtHere's an example using conda. Create a new conda environment with Python 3.11conda create -n oodikone python=3.11Activate the newly created environmentconda activate oodikoneNavigate to the directory containing the replication packagecd [Directory of the replication package]Install the required dependencies from requirements.txtpip install -r requirements.txtThe folder paths for the current implementation assume the replication package directory as the root folder.  If you run into errors, most likely they are related to incorrect folder paths, so please check that the folder paths are correct.The original raw dataset of log files are in the folder "logs_all_original_input".The OOVD filtered log files are in the folder "logs_all_OOVD_input". If you wish to perform OOVD filtering separately, please navigate to the folder "oovd_filtering" and run "create_oovd_filtering.ipynb".Note that this is unnecessary, as all of the OOVD outputs are already in the folder "logs_all_OOVD_input". For Top-K results, please run config_analyzer_top_K.ipynbFor Top-R results, please run config_analyzer_top_R.ipynb