Validation, verification and test of knowledge-based systems
Validation, verification and test of knowledge-based systems
Proposals for a valid terminology in KBS validation
ECAI '92 Proceedings of the 10th European conference on Artificial intelligence
KADS: a modelling approach to knowledge engineering
Knowledge Acquisition - Special issue on the KADS approach to knowledge engineering
Design knowledge validation through experimentation
Validation, verification and test of knowledge-based systems
The engineering of knowledge-based systems: theory and practice
The engineering of knowledge-based systems: theory and practice
Toward a quality assessment framework for knowledge-based systems
Journal of Systems and Software - Special issue on software quality in knowledge-based systems
Verification and Validation of Rule-Based Expert Systems
Verification and Validation of Rule-Based Expert Systems
Quality Measures and Assurance for AI (Artificial Intelligence) Software
Quality Measures and Assurance for AI (Artificial Intelligence) Software
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In recent years, knowledge-based software technology has proven itself to be a valuable tool for solving hitherto intractable problems. Developers of knowledge-based systems must ensure that the system will give its users accurate advice or correct solutions to their problems. Thus, knowledge-based systems must be debugged and validated just like any other piece of software. It has been found that one of the most important problems in developing knowledge-based systems is the lack of methods to verify and validate its KB. The aim of this article is to define a methodology and its supporting tool set that are used together in order to completely test knowledge-based systems. The suggested testing methodology couples different verification and validation activities that are collectively valuable in raising the level of system correctness.