This research proposes a solution to manage variabilities of
software product line applications. The objective of the research
is to support software decision makers in handling additional
software complexity introduced by product line architectures. In
order to fulfill this objective an approach to analyze, visualize,
and measure product line specific characteristics of the C/C++
source code are proposed. The approach is validated in an empirical
experiment using an open source software system. For that purpose
the approach is first implemented into M-System-NT, an existing
software measurement tool developed at Fraunhofer Institute for
Experimental Software engineering. The target hypothesis of the
research master thesis to perform static analysis of C/C++ source
code, measure traditional and product line measures to identify the
correlation between measures and indicate the fault proneness.
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