Abstract
Modern day enterprises rely on streamlined business processes for their smooth operation. However, lot of these processes contain errors, many of which are control flow related, e.g., deadlock and lack of synchronization. This can provide hindrance to downstream analysis like correct simulation, code generation etc. For real-life process models other kind of errors are quite common, - these are syntactic errors which arise due to poor modeling practices. Detecting and identifying the location of occurrence of errors are equally important for correct modeling of business processes. We consider industrial business processes modeled in Business Process Modeling Notation BPMN and use graph-theoretic techniques and Petri net-based analyses to detect syntactic and control flow related errors respectively. Subsequently based on this, we diagnose different types of errors. We are further able to discover how error frequencies change with error depth and how they correlate with the size of the subprocesses and swim-lane interactions in the models. Such diagnostic details are vital for business process designers to detect, identify and rectify errors in their models.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
