Please use this identifier to cite or link to this item: http://hdl.handle.net/1880/50713
Title: An automatic framework for extracting and classifying near-miss clone genealogies
Authors: Saha, R.K.
Roy, C.K.
Schneider, K.A.
Issue Date: 2011
Publisher: IEEE
Abstract: Extracting code clone genealogies across multiple versions of a program and classifying them according to their change patterns underlies the study of code clone evolution. While there are a few studies in the area, the approaches do not handle near-miss clones well and the associated tools are often computationally expensive. To address these limitations, we present a framework for automatically extracting both exact and near-miss clone genealogies across multiple versions of a program and for identifying their change patterns using a few key similarity factors. We have developed a prototype clone genealogy extractor, applied it to three open source projects including the Linux Kernel, and evaluated its accuracy in terms of precision and recall. Our experience shows that the prototype is scalable, adaptable to different clone detection tools, and can automatically identify evolution patterns of both exact and near-miss clones by constructing their genealogies.
URI: http://hdl.handle.net/1880/50713
Appears in Collections:Papers

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.