SIMPLIFYING FLIGHT TEST CONFIGURATION WITH CONSTRAINTS

Abstract

Configuring flight test systems can be a complex process due to the large number of choices that must be made. Making these choices requires system knowledge to build a working configuration in an efficient and timely manner. Historically, flight test systems have embedded this system knowledge in code. The limitation with these approaches is that any change or addition to the system knowledge is costly due to the significant work required to update and maintain the software. We see the philosophy of constraints as a promising path toward addressing these issues. In the context of flight test configuration, a set of constraints defines the limits of how a system may be configured to perform specific tasks. This paper describes an approach for simplifying configuration by moving the system knowledge out of hardcoded business rules and into a flexible architecture that leverages constraints for validation of system configurations.