Defects4REST Replication Package Artifact (ICSE 2026)

This artifacte contains the code and data to replicate the results presented in the paper titled Defects4REST: A Benchmark of Real-World Defects to Enable Controlled Testing and Debugging Studies for REST APIs. in Proceedings of the 48th International Conference on Software Engineering (ICSE), 2026 by Rahil P. Mehta, Pushpak Kathkhede, and Manish Motwani. The artrifact is organized in terms of the three research questions addressed in the paper: RQ1: Common REST API Defect Types: This involves code and data related to mining issues from GitHub projects (issue mining), classfying issues into REST-API defects and non-REST API defects (issue classification), and deriving defect taxonomy (clustering and topic modeling). RQ2: File Types Modified and Time to Resolve REST API Defects: This involves the code and data to analyze the file types of developer-modified files to fix the REST API defects (patch file analysis), and the time it took developers to fix these defects (time to fix analysis). RQ3: Evaluating Current REST API Testing Tools Against Real-World Defects: This involves code and data to execute and analyze the results of four REST API testing techniques (EvoMaster, Schemathesis,RESTler, and AutoRestTest) on a 30-defect subset of Defects4REST.