Anomalies in business process models represent situations in which there is a deviation from the rules of modeling and presentation models. Anomalies are departures from the expected or normal structure, behavior, functionality, performance and etc. Since anomalies have certain common properties and characteristics by which they can be grouped and classified, we can say that the anomalies are actually patterns that cause deviations from normal behavior model and need to be cleared. A model in which exists an anomaly is defective and requires additional intervention which corrects this model. Anomalies in the models of business processes can occur during: modeling, modify models and conversion models. Problems with anomalies especially come to the fore in the case of conversion models from one notation to another. In this case, different uses of specific notation usually dictate and emphasis details on individual elements of the model. For this reason, may cause loss of information during this transformation. This paper deals with anomalies in the models of business processes, their properties, characteristics and features, by developing their taxonomy, the ways of their recognition and ways of their solution. This paper presents an overview of anomalies, which are classified according to certain characteristics. For each anomaly is given a description and example. He also suggested a way to identify and solve, in the form of OCL rules or in pseudo-code. Finally worked out a proposal automation to identify and solve anomalies based on pattern recognition, and our model is tested on several examples.