Risk Assessment for Relational Database Schema - based Constraint Using State Machine Diagram

Abstract— Information is a critical asset of an organization. This is why reducing the chance of data loss must be a primary concern. This research focuses on the risk assessment issue in physical level of data implementation, which includes identifying risk factors and assigning a hazard level. This research will investigate how to predict the chance of incorrect data based on breaking risk assessment constraints using a state machine diagram. The diagram represents the status of the data when that data must change as a result of a program execution. The advantages of this research include helping software development teams identify what risks may occur in different scenarios, and helping reduce development cost by allowing them to minimize those risks.