GAE: A Novel Approach for Software Workflow Improvement by Unhidding Hidden Transactions

摘要

"Workflow scientist" desires to possess particular/exact to initiate innovation in a progressively digitalized ecosphere. In this paper, we just only conceptualized our idea with a small case study. This allows us to analyze the operational process workflow of healthcare information systems under real-life scenarios, and use extraction procedures for processes to acquire specific and recognized software improvement models. This paper oriented on associating the organized mining approach for the event classes from event data for the software process improvement by using the Petri nets flow model approach. In the future, we aim at conducting additional experiments using different variety of event log data sets. A reasonable succeeding phase is to progress with tool support for domain-based information management systems.