Feature interaction networks

Authors:
Stefan Sobernig
Affiliations:
Vienna University of Economics and Business (WU Vienna), Vienna, Austria
Venue:
Proceedings of the 2010 ACM Symposium on Applied Computing
Year:
2010

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Abstract

A quantitative approach for measuring and describing feature interactions in object-oriented software components based on source code inspection is presented. The methodical arsenal is borrowed from the field of network analysis. Based on data gathering through source code harvesting, network representations of feature implementations (i.e., feature interaction networks, FINs) are constructed. By applying established network statistics, various properties of interaction structures between features can be captured, e.g. the scatteredness, the degree of crosscutting (scattering), and the scattering concentration. This approach contrasts with related proposals based on frequency and dispersion measures.