Skip to Main content Skip to Navigation
New interface
Conference papers

Modeling Features at Runtime

Abstract : A feature represents a functional requirement fulfilled by a system. Since many maintenance tasks are expressed in terms of features, it is important to establish the correspondence between a feature and its implementation in source code. Traditional approaches to establish this correspondence exercise features to generate a trace of runtime events, which is then processed by post-mortem analysis. These approaches typically generate large amounts of data to analyze. Due to their static nature, these approaches do not support incremental and interactive analysis of features. We propose a radically different approach called live feature analysis, which provides a model at runtime of features. Our approach analyzes features on a running system and also makes it possible to grow feature representations by exercising different scenarios of the same feature, and identifies execution elements even to the sub-method level. We describe how live feature analysis is implemented effectively by annotating structural representations of code based on abstract syntax trees. We illustrate our live analysis with a case study where we achieve a more complete feature representation by exercising and merging variants of feature behavior and demonstrate the efficiency or our technique with benchmarks.
Document type :
Conference papers
Complete list of metadata

Cited literature [26 references]  Display  Hide  Download
Contributor : Lse Lse Connect in order to contact the contributor
Submitted on : Saturday, January 15, 2011 - 9:15:46 PM
Last modification on : Wednesday, May 4, 2022 - 3:14:20 AM
Long-term archiving on: : Tuesday, November 6, 2012 - 11:36:14 AM


Files produced by the author(s)



Marcus Denker, Jorge Ressia, Orla Greevy, Oscar Nierstrasz. Modeling Features at Runtime. MODELS 2010, Oct 2010, Oslo, Norway. pp.138-152, ⟨10.1007/978-3-642-16129-2_11⟩. ⟨inria-00531045v2⟩



Record views


Files downloads