to make an objective assessment of this properties possible. This framework also has advantages of providing uniform and formal description of the model element within one or different model types using one modeling techniques In short this can make assessment of both the product quality and the process quality of modeling techniques with regard to a set of properties that have been defined before. Quality properties that relate to business process modeling techniques discussed in are: Expressiveness: the degree to which a given modeling technique is able to denote the models of any number and kinds of application domains. Arbitrariness: the degree of freedom one has when modeling one and the same domain Suitability: the degree to which a given modeling technique is specifically tailored for a specific kind of application domain. Comprehensibility: the ease with which the way of working and way of modeling are understood by participants. Coherence: the degree to which the individual sub models of a way of modeling constitute a whole. Completeness; the degree to which all necessary concepts of the application domain are represented in the way of modeling. Efficiency: the degree to which the modeling process uses resources such as time and people. Effectiveness: the degree to which the modeling process achieves its goal. To assess the quality of Q-ME framework; it is used to illustrate the quality of the dynamic essentials modeling of the organisation (DEMO) business modeling techniques. It is stated that the evaluation of the Q-ME framework to the DEMO modeling techniques has revealed the shortcomings of Q-ME. One particular is that it does not include quantifiable metric to express the quality of business modeling technique which makes it hard to compare quality of different techniques in an overall rating. There is also a systematic approach for quality measurement of modeling techniques known as complexity metrics suggested by Rossi et al. (1996). Techniques of Meta model is used as a basis for computation of these complexity metrics. In comparison to quality framework proposed by Krogstie, quality measurement focus more on technical level instead of individual model level. Authors (Cardoso, Mendling, Neuman and Reijers, 2006) used complexity metrics to measure the simplicity and understandability of a design. This is supported by later research done by Mendling et al. who argued that without using the quality metrics to help question quality properties of a model, simple process can be modeled in a