Comparative evaluation of expert system testing methods

Abstract

Effective testing (validation, verification and evaluation) for expert systems is becoming important. A comparative evaluation of black-box, white-box, consistency, and completeness testing methods is performed based on the criteria of effectiveness, robustness, and cost. Testing methods are evaluated using life-cycle mutation testing on a VLSI manufacturing diagnostic expert system. The results indicate that dynamic-flow testing can be used to catch faults in all phases of software development.<>