An Audit of Machine Learning Experiments on Software Defect Prediction - Dataset

ML_Audit_20240923_anon.csv:This CSV file contains anonymized data used in the audit of machine learning experiments on software defect prediction. The dataset includes variables and performance metrics extracted from studies published between 2019 and 2023. It supports the audit's evaluation of study reproducibility and issues related to experimental design and statistical analysis. This data can be used for replication and further analysis of the trends and reproducibility issues identified in the paper. ML_Audit_Sept2024.Rmd:This RMarkdown file contains the analysis script used for the statistical analysis and audit of the machine learning experiments reviewed in the study. It includes the procedures for data preprocessing, statistical evaluations, and reproducibility assessments. The script is integral for replicating the audit results presented in the paper and can be used by other researchers to perform similar audits or extend the analysis on different datasets.