Feature transformation-based computational model and tools for heterogeneous meta-program design

We propose an approach and tools for designing heterogeneous meta-program (MP) through feature model (FM) transformations. Tools implement the State Machine (ASM) computational model. Firstly, to map the problem domain FM onto the solution domain FM, we use FAMILIAR and SPLOT tools. Next, to perform Model-to-MP transformations, we use newly developed tools. We present the process-based framework and background of the approach along with a case study, experimental validation and evaluation. The main contribution of the paper is the ASM-based transformation model, its implementation algorithm to describe the functioning of the developed tools.