Process Mining Functional and Structural Validation

Abstract

Current study proposes solutions for functional and structural validation of business process models extracted after mining the event log dataset with several process mining algorithms. Structural validation (verification) assesses the quality of the business processes using conformance analysis techniques and computed statistical results. Cross-validation for structural validation is also presented as a methodology used for evaluating business processes. Furthermore we propose extending verification of process models with functional validation with the scope of aligning business processes with business objectives. Functional validation starts with process requirement definition, split of process requirements on clear use cases, and generating event log data capturing the use case functionality. Functional validation is applied on real event log data generated during one software release in automotive industry, tools development area. Structural and functional validation techniques are captured in a proposal for a framework.