Refactoring large process model repositories
With the increasing adoption of process-aware information systems,large process model repositories have emerged.Typically,the models in such repositories are re-aligned to real-world events and demands through adaptation on a day-to-day basis.This bears the risk of introducing model redundancies and of unnecessarily increasing model complexity.If no continuous investment ismade in keeping process models simple,changes will becomemore difficult and error-prone over time.Although refactoring techniques are widely used in software engineering to address similar problems,so far,no comparable state-of-the-art has evolved in the business process management domain.Process designers either have to refactor process models by hand or are simply unable to apply respective techniques at all.This paper proposes a catalogue of process model ‘‘smells’’ for identifying refactoring opportunities.In addition,it introduces a set of behavior-preserving techniques for refactoring large process repositories.The proposed refactorings enable process designers to effectively deal with model complexity bymaking process models better understandable and easier to maintain.The refactorings have been evaluated using large process repositories from the healthcare and automotive domain.To demonstrate the feasibility of the refactoring techniques,a proof-of-concept prototype has been implemented.
Process-aware information system Process model quality Process model smell Process model refactoring
Barbara Weber Manfred Reichert Jan Mendling Hajo A.Reijers
Department of Computer Science,University of Innsbruck,Technikerstrβe 21a,6020 Innsbruck,Austria Institute of Databases and Information Systems,University of Ulm,Germany Humboldt-Universit(a)t zu Berlin,Germany School of Industrial Engineering,Eindhoven University of Technology,The Netherlands
国内会议
南京
英文
1-20
2013-11-01（万方平台首次上网日期，不代表论文的发表时间）