Supporting Feature Analysis with Runtime Annotations

Abstract : 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.
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Communication dans un congrès
3rd International Workshop on Program Comprehension through Dynamic Analysis (PCODA 2007), 2007, Vancouver, Canada. Technische Universiteit Delft, pp.29--33, 2007
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Marcus Denker, Orla Greevy, Oscar Nierstrasz. Supporting Feature Analysis with Runtime Annotations. 3rd International Workshop on Program Comprehension through Dynamic Analysis (PCODA 2007), 2007, Vancouver, Canada. Technische Universiteit Delft, pp.29--33, 2007. 〈inria-00555456〉

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