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Dating from the early 1980s, Knowledge-Based Engineering technology (KBE) has been used to capture and automate design and engineering, in particular in the automobile and aircraft industries. A viable KBE system in the 21st century must provide users with a dynamic modeling feedback loop in an environment favorable to both exploration and experimentation, supplying various approaches for engineering a given set of artifacts. The fundamental properties of a KBE system must include automatic caching and dependency tracking for the scalable runtime performance of large models, minimal source code volume, and efficient and rapid tools for model development and debugging. And, not least, it must complement existing CAD systems. A crucial aspect of a bonafide KBE system is its language-based core, embedded in a standardized, full-featured programming language, i.e., as a superset.

If one is to look at the Trends in Data Acquisition for Sled Testing, it is important to consider both TESTING TRENDS, and TECHNOLOGY TRENDS. With communication between the Testing Community, and the Data Equipment Manufactures the marriage of these trends will result in more efficient higher performance data acquisition systems. The goal of every test engineer should be to produce accurate and verifiable test results at a reasonable cost. Co-operative efforts between the sled testing industry and the data system manufactures will benefit all, the testor, the equipment manufacture and the end user of the product under test.