Terrain database correlation and automated testing are areas needing innovative and reliable solutions. Specifically, there are minimal correlation testing solutions and the vast majority of terrain database verification processes rely on human-in-the-loop testing. Hence, these tests are time consuming, costly, and do not prevent the interoperability and/or fair fight issues. This effort will investigate new mechanisms for automated correlation testing through a fundamental approach which begins by identifying the problems inherent with achieving fair fight and interoperability. The effort continues by defining metrics to be used in capturing individual correlation measures in the areas of terrain database physical representation and terrain services functionality. These correlation measures are aggregated to develop a high level correlation scoring system. Finally, this effort will look into a configurable mechanism where users can specify the measures, the relative weight or priorities of the measures, and the failure criteria for correlation testing and reporting.
Keywords: Terrain Database, Correlation, Automated Testing, Interoperability, Fair Fight, Terrain Verification, Terrain Validation, Lvc
