Less than a decade ago it seemed that a new paradigm of engineering–called computer-aided engineering (CAE) – was emerging. This emergence was driven in part by the success of computer support for the tasks of engineering analysis and in part by a new understanding of how computational ideas largely rooted in artificial intelligence (AI) could perhaps improve the practice of engineering, especially in the area of design synthesis. However, while this “revolution” has failed to take root or flourish as a separate discipline, it has spawned research that is very different from traditional engineering research. To the extent that such CAE research is different in style and paradigm, it must also be evaluated according to different metrics. Some of the metrics that can be used are suggested, and some of the evaluation issues that remain as open questions are pointed out.
© 1994 Cambridge University Press
C. L. Dym and R. E. Levitt, “On the Evolution of CAE Research,” Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 8 (4), 275-282, Fall 1994. DOI: 10.1017/S0890060400000950