I have been working on a research paper related to source code authorship attribution. In order to measure the performance of the technique, described in my paper, I need several data sets.
Following papers described similar systems and tested those systems using several datasets. Unfortunately these datasets are not publicly available. Can somebody help me to find out, several publicly available datasets, suitable for testing source code attribution? (I’m particularly interested in datasets related to Java programming language)
Shevertalov M, Kothari J, Stehle E, Mancoridis S. On the use of discretised source code metrics for author identification. Proceedings of the First International Symposium on Search Based Software Engineering, HarmanM, Di Penta M, Poulding S (eds.), IEEE Computer Society Press: Windsor, United Kingdom, 2009; 69-78.
Burrows S, Tahaghoghi SMM. Source code authorship attribution using n-grams. Proceedings of the Twelfth Australasian Document Computing Symposium, Spink A, Turpin A, Wu M (eds.), RMIT University: Melbourne,Australia, 2007; 32-39.
Frantzeskou G, Stamatatos E, Gritzalis S, Katsikas S. Source code author identification based on n-gram authorprofiles. Artificial Intelligence Applications and Innovations, Maglogiannis IG, Karpouzis K, Bramer M (eds.).Springer: New York City, New York, 2006; 508-515.
Frantzeskou G, Stamatatos E, Gritzalis S, Katsikas S. Effective identification of source code authors using bytelevelinformation. Proceedings of the Twenty-Eighth International Conference on Software Engineering, OsterweilLJ, Rombach D, Soffa ML (eds.), ACM Special Interest Group on Software Engineering, ACM Press: Shanghai,China, 2006; 893-896.
Frantzeskou G, Stamatatos E, Gritzalis S, Chaski CE, Howald BS. Identifying authorship by byte-level n-grams:The source code author profile (SCAP) method. International Journal of Digital Evidence January 2007; 6(1):1-18.
Frantzeskou G, MacDonell SG, Stamatatos E, Gritzalis S. Examining the significance of high-level programmingfeatures in source code author classification. Journal of Systems and Software March 2008; 81(3):447-460.
Frantzeskou G, Stamatatos E, Gritzalis S. Supporting the cybercrime investigation process: Effective discriminationof source code authors based on byte-level information. Proceedings of the Second International Conference on Ebusiness and Telecommunication Networks, Filipe J, Vasiu L (eds.), Institute for Systems and Technologies ofInformation, Control and Communication, INSTICC Press: Reading, United Kingdom, 2005; 283-290.
Burrows S, Uitdenbogerd AL, Turpin A. Application of information retrieval techniques for source codeauthorship attribution. Proceedings of the Fourteenth International Conference on Database Systems for Advanced Applications, Zhou X, Yokota H, Kotagiri R, Lin X (eds.), Springer: Brisbane, Australia, 2009; 699-713.