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Proceedings Article: BibTeX citation key:  Eisenbarth2001b
T. Eisenbarth, R. Koschke and D. Simon, "Feature-Driven Program Understanding Using Concept Analysis of Execution Traces" in Proc. of 9th International Workshop on Program Comprehension (IWPC), Toronto, Canada, May 12-13, 2001, pp. 300–309.
Added by: Jochen Quante 2007-09-13 11:23:48    Last edited by: Jochen Quante 2007-09-19 11:10:25
Categories: AG-Koschke, SAT, SQuIS, [ old ---- Adaptive Kommunikation --- old ]
Keywords: feature location, reverse engineering
Creators: Eisenbarth, Koschke, Simon
Publisher: (Toronto, Canada)
Collection: Proc. of 9th International Workshop on Program Comprehension (IWPC)

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The first task of a programmer who wants to understand how a certain feature is implemented is to localize the implementation of the feature in the code. If the implementations of a set of related features are to be understood, a programmer is interested in their commonalities and variabilities. For large and badly documented programs, localizing features in code and identifying commonalities and variabilities of components and features can be difficult and time-consuming. It is useful to derive this information automatically.
The feature-component correspondence describes which components are needed to implement a set of features and what are the respective commonalities and variabilities of features and components. This paper describes a new technique to derive the feature-component correspondence utilizing dynamic information and concept analysis. The method is simple to apply, cost-effective, largely language-independent, and can yield results quickly.
Added by: Jochen Quante

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