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Performance evaluation is a serious challenge in designing or optimizing reconfigurable instruction set processors. A combined analytical and simulation-based model (CAnSO*) is proposed and validated for performance evaluation of a typical reconfigurable instruction set processor. The proposed model consists of an analytical core that incorporates statistics gathered from cycle-accurate simulation to make a reasonable evaluation. CAnSO has clear speed advantages and compared to cycle-accurate simulation, it proves almost 2% variation in the speedup measurement.