Measuring the progress of reference model-based business process modeling

Abstract

Business process modeling plays a major role in industry and academia. As a result, current research focuses on its assistance. Business process modeling is a time-consuming task and its effort is hard to predict, and a plethora of concepts exists for facilitating and improving it. A concept that has not been studied yet is prediction of the remaining effort of business process modeling. In this paper we tackle this issue and suggest a solution for measuring the progress of business process modeling. Our solution is based on the assumption that a reference model is given representing a best practice of a business process. In addition, a set of process variants exists for that reference model. Under these conditions, we propose two measurement approaches that base on the longest common subsequence algorithm and determine the effort required to complete business process modeling. The main benefit of the approaches is the possibility of effectively structuring and monitoring the development of business process modeling projects.