L. Barbour, F. Khomh, Y. Zou, Late propagation in software clones, in 2011 27th IEEE International Conference on Software Maintenance (ICSM) (IEEE, 2011), pp. 273–282
Google Scholar
M. Kim, V. Sazawal, D. Notkin, G. Murphy, An empirical study of code clone genealogies, in Proceedings of the 10th European Software Engineering Conference Held Jointly with 13th ACM SIGSOFT International Symposium on Foundations of Software Engineering, ser. ESEC/FSE-13 (ACM, New York, NY, USA, 2005), pp. 187–196
Google Scholar
L. Aversano, L. Cerulo, M. Di Penta, How clones are maintained: an empirical study, in 11th European Conference on Software Maintenance and Reengineering (2007), pp. 81 –90
Google Scholar
S. Thummalapenta, L. Cerulo, L. Aversano, M. Di Penta, An empirical study on the maintenance of source code clones. Empir. Softw. Eng. 15, 1–34 (2010)
CrossRef
Google Scholar
L. Barbour, L. An, F. Khomh, Y. Zou, S. Wang, An investigation of the fault-proneness of clone evolutionary patterns. Softw. Qual. J. 26(4), 1187–1222 (2018)
CrossRef
Google Scholar
N. Göde, R. Koschke, Incremental clone detection, in 13th European Conference on Software Maintenance and Reengineering (IEEE, 2009), pp. 219–228
Google Scholar
J. Svajlenko, C.K. Roy, Evaluating modern clone detection tools, in 2014 IEEE International Conference on Software Maintenance and Evolution (IEEE, 2014), pp. 321–330
Google Scholar
N. Göde, Evolution of type-1 clones, in Proceedings of the 9th International Working Conference on Source Code Analysis and Manipulation (IEEE Computer Society, 2009), pp. 77–86
Google Scholar
J. Krinke, A study of consistent and inconsistent changes to code clones, in Working Conference on Reverse Engineering (2007), pp. 170–178
Google Scholar
C.C.S., whatthepatch—python’s third party patch parsing library Online. Accessed 17 Aug 2020
Google Scholar
J. Śliwerski, T. Zimmermann, A. Zeller, When do changes induce fixes? ACM Sigsoft Softw. Eng. Notes 30(4), 1–5 (2005)
CrossRef
Google Scholar
M. Fischer, M. Pinzger, H. Gall, Populating a release history database from version control and bug tracking systems, in International Conference on Software Maintenance, 2003. ICSM 2003. Proceedings (IEEE, 2003), pp. 23–32
Google Scholar
D. Sheskin, Handbook of Parametric and Nonparametric Statistical Procedures, 4th ed. (Chapman & Hall, 2007)
Google Scholar
T. Chen, C. Guestrin, Xgboost: a scalable tree boosting system, in Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2016), pp. 785–794
Google Scholar
Z. Chen, F. Jiang, Y. Cheng, X. Gu, W. Liu, J. Peng, XGBoost classifier for DDoS attack detection and analysis in SDN-based cloud, in IEEE International Conference on Big Data and Smart Computing (bigcomp) (IEEE, 2018), pp. 251–256
Google Scholar
S.S. Dhaliwal, A.-A. Nahid, R. Abbas, Effective intrusion detection system using xgboost. Information 9(7), 149 (2018)
CrossRef
Google Scholar
M. Abidi, M.S. Rahman, M. Openja, F. Khomh, Are multi-language design smells fault-prone? An empirical study
Google Scholar