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  1. Marcus Denker, Orla Greevy, and Oscar Nierstrasz. Supporting Feature Analysis with Runtime Annotations. In Proceedings of the 3rd International Workshop on Program Comprehension through Dynamic Analysis (PCODA 2007), p. 29—33, Technische Universiteit Delft, 2007. PDF 

    The dynamic analysis approach to feature identification describes a technique for capturing feature behavior and mapping it to source code. Major drawbacks of this approach are (1) large amounts of data and (2) lack of support for sub-method elements. In this paper we propose to leverage sub-method reflection to identify and model features. We perform an on-the-fly analysis resulting in annotating the operations participating in a feature's behavior with meta-data.The primary advantage of our annotation approach is that we obtain a fine-grained level of granularity while at the same time eliminating the need to retain and analyze large traces for feature analysis.