In this paper we propose an approach to handle the additional level complexity and indicate the rate of increase or decrease of fault proneness in software product line applications. The proposed approach is based on measurement analysis and consisting of three main components .i.e., Analysis, Measurement and Visualisation to dynamically analyse the internal preprocessed source code characteristics, calculate metrics and visualise results in two dimensional diagrams .i.e., graphs, bar chart and tree maps. To evaluate the effectiveness of proposed approach we first implemented it in a real time software application and then performed experimentation using some real time data sets. Narrowing the scope of our research, we only focus on analysing software product line applications developed in C++ programming language.
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