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This paper brings out several findings about searchability of clones in tree data structures. The results show that a local tree-based search is always feasible and the clone space is very small, which can be useful for many practical purposes.
A new type of API based clone detection approach, called path-based cloning, for the detection of inter-procedural clones is proposed, and the clones are detected by traversing program code paths rather than the binary structures. The experiments show that path-based cloning identifies the most clone-intensive C and C++ source files, and that the detected clones are directly relevant to the program development.
This paper proposes a new method named discriminating objects to detect inter-generalization merge (IGM) clones. A lot of existing clone detection methods are found to have complementary mechanisms for detecting different kinds of clones. Specifically, existing IGM-detecting approaches have shown good success in detecting product-based and specialization-based clones. However, not enough attention has been paid to the detection of specialties clone.
Defining clone relationship in terms of the mutual exclusion of inclusion is found to be impractical because of the difficulty of ruling out relationships other than mutual exclusion; therefore, we propose an alternative approach that combines the complementarity of subtext-based exclusion with multiple-choice inclusions.
In this paper we present three approaches to the automatic detection of clone-based refactoring candidates for Java. In essence, these are the detection of inter-generalization clones, subtext-based refactoring candidates, and specialties refactoring candidates.
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