Replication-Aware Transaction model present a technique in which failures in thescope of a transaction issued on a gruop of replicated objects are simply ignored. In this technique,the failed replicated objects are removed from their relevant object group therefore,there is no need to roll the whole transaction back. Previous evaluation of the technique based on an implemented prototype on FT-CORBA and CORBA Transaction Service (OTS) has shown better transaction throughput compared to other methods. This paper re-evaluates this technique by modeling it using Stochastic Reward Networks (SRNs).The performance measurements derived from running the SRN model differs from the one gained from the implemented prototype. We discuss these differences and analyze how theSRN model and the implemented prototype revealed interesting points which were not previously considered.