On the Use of Clone Detection for Identifying Crosscutting Concern Code
IEEE Transactions on Software Engineering
Analyzing the Evolutionary History of the Logical Design of Object-Oriented Software
IEEE Transactions on Software Engineering
UMLDiff: an algorithm for object-oriented design differencing
Proceedings of the 20th IEEE/ACM international Conference on Automated software engineering
How do APIs evolve? A story of refactoring: Research Articles
Journal of Software Maintenance and Evolution: Research and Practice - IEEE International Conference on Software Maintenance (ICSM2005)
Automatic Inference of Structural Changes for Matching across Program Versions
ICSE '07 Proceedings of the 29th international conference on Software Engineering
Analysis of the Linux Kernel Evolution Using Code Clone Coverage
MSR '07 Proceedings of the Fourth International Workshop on Mining Software Repositories
Differencing logical UML models
Automated Software Engineering
Automated detection of api refactorings in libraries
Proceedings of the twenty-second IEEE/ACM international conference on Automated software engineering
Mining framework usage changes from instantiation code
Proceedings of the 30th international conference on Software engineering
Semi-automating small-scale source code reuse via structural correspondence
Proceedings of the 16th ACM SIGSOFT International Symposium on Foundations of software engineering
"Cloning considered harmful" considered harmful: patterns of cloning in software
Empirical Software Engineering
Comparison of similarity metrics for refactoring detection
Proceedings of the 8th Working Conference on Mining Software Repositories
Automated detection of refactorings in evolving components
ECOOP'06 Proceedings of the 20th European conference on Object-Oriented Programming
Comparing approaches to analyze refactoring activity on software repositories
Journal of Systems and Software
A comparative study of manual and automated refactorings
ECOOP'13 Proceedings of the 27th European conference on Object-Oriented Programming
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In modern software engineering, researchers regard a software system as an organic life form that must continue to evolve to remain successful. Unfortunately, little is known about how successful software systems have evolved, and consequently little has been learned from previous experience. In this paper, we demonstrate a heuristic to reconstruct evolution processes of existing software systems by exploiting techniques to detect duplication in large amounts of data. A case study, evaluating various versions of Tomcat using this heuristic, revealed that the removal of duplicated code is a much smaller concern than grouping functionality in classes with one clear responsibility.