Lecture notes on empirical software engineering
Lecture notes on empirical software engineering
An Ethnographic Study of Copy and Paste Programming Practices in OOPL
ISESE '04 Proceedings of the 2004 International Symposium on Empirical Software Engineering
Comparison and Evaluation of Clone Detection Tools
IEEE Transactions on Software Engineering
IEEE Transactions on Software Engineering
Comparison and evaluation of code clone detection techniques and tools: A qualitative approach
Science of Computer Programming
An Empirical Study on Inconsistent Changes to Code Clones at Release Level
WCRE '09 Proceedings of the 2009 16th Working Conference on Reverse Engineering
Clone region descriptors: Representing and tracking duplication in source code
ACM Transactions on Software Engineering and Methodology (TOSEM)
Measuring the efficacy of code clone information: an empirical study
Evaluation and Usability of Programming Languages and Tools
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Code clone analysis techniques and tools are popular topics among the software engineering research community. Many studies draw conclusions solely based on an analytical analysis. These claims focus primarily on tool performance in terms of portability, scalability, robustness, precision, and recall. However, these types of analytical studies cannot adequately evaluate the behavior of the developers while using the tools. Human-based empirical studies are complementary to studies based on analytical data because they provide direct insight into developer behavior. In this paper we argue for the need for more humanbased empirical studies in the area of code clone analysis techniques and tools.