Etor Uncovers License Violations, Plagiarism, and More in Open-Source Projects

In order to identify unethical behavior in open-source software (OSS) projects, this study assesses Etor, an ontology-based tool. After examining 195,621 problems and pull requests from 1,765 GitHub repositories, Etor discovered six main categories of unethical activity, such as plagiarism, self-promotion, missing licenses, and misinformed license revisions. Etor shows encouraging accuracy with a 74.8% true positive rate and quick detection times, however there are still issues with unclear situations and different artifact analysis.