Supporting the analysis of clones in software systems: Research Articles
Journal of Software Maintenance and Evolution: Research and Practice - IEEE International Conference on Software Maintenance (ICSM2005)
Refactoring a legacy component for reuse in a software product line: a case study: Practice Articles
Journal of Software Maintenance and Evolution: Research and Practice - IEEE International Conference on Software Maintenance (ICSM2005)
Supervised categorization of JavaScriptTM using program analysis features
Information Processing and Management: an International Journal - Special issue: AIRS2005: Information retrieval research in Asia
"Cloning considered harmful" considered harmful: patterns of cloning in software
Empirical Software Engineering
An information retrieval process to aid in the analysis of code clones
Empirical Software Engineering
Comparison and evaluation of code clone detection techniques and tools: A qualitative approach
Science of Computer Programming
CloneDetective - A workbench for clone detection research
ICSE '09 Proceedings of the 31st International Conference on Software Engineering
Cleman: Comprehensive Clone Group Evolution Management
ASE '08 Proceedings of the 2008 23rd IEEE/ACM International Conference on Automated Software Engineering
An empirical study on the maintenance of source code clones
Empirical Software Engineering
Achieving accurate clone detection results
Proceedings of the 4th International Workshop on Software Clones
An empirical study of long-lived code clones
FASE'11/ETAPS'11 Proceedings of the 14th international conference on Fundamental approaches to software engineering: part of the joint European conferences on theory and practice of software
Supervised categorization of JavaScript™ using program analysis features
AIRS'05 Proceedings of the Second Asia conference on Asia Information Retrieval Technology
Relation of code clones and change couplings
FASE'06 Proceedings of the 9th international conference on Fundamental Approaches to Software Engineering
CloneDifferentiator: Analyzing clones by differentiation
ASE '11 Proceedings of the 2011 26th IEEE/ACM International Conference on Automated Software Engineering
Evaluating the conventional wisdom in clone removal: a genealogy-based empirical study
Proceedings of the 28th Annual ACM Symposium on Applied Computing
An empirical study of the factors affecting co-change frequency of cloned code
CASCON '13 Proceedings of the 2013 Conference of the Center for Advanced Studies on Collaborative Research
Genealogical insights into the facts and fictions of clone removal
ACM SIGAPP Applied Computing Review
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Management of duplicated code in software systems is important in ensuring its graceful evolution. Commonly clone detection tools return large numbers of detected clones with little or no information about them, making clone management impractical and unscalable. We have used a taxonomy of clones to augment current clone detection tools in order to increase the user comprehension of duplication of code within software systems and filter false positives from the clone set. We support our arguments by means of 2 case studies, where we found that as much as 53% of clones can be grouped to form Function clones or Partial Function clones and we were able to filter out as many as 65% of clones as false positives from the reported clone pairs.