Designing testable, heterogeneous software environments
Journal of Systems and Software - Special issue on software quality in knowledge-based systems
Journal of Systems and Software - Special issue on invited articles on top systems and software engineering scholars
Knowledge engineering and management: the CommonKADS methodology
Knowledge engineering and management: the CommonKADS methodology
Torture Tests: A Quantitative Analysis for the Robustness of Knowledge-Based Systems
EKAW '00 Proceedings of the 12th European Workshop on Knowledge Acquisition, Modeling and Management
Lattices of Knowledge in Intelligent Systems Validation
Proceedings of the Twelfth International Florida Artificial Intelligence Research Society Conference
The Art of Software Testing
A rigorous approach to knowledge base maintenance
IEA/AIE'2003 Proceedings of the 16th international conference on Developments in applied artificial intelligence
Compiling knowledge into decomposable negation normal form
IJCAI'99 Proceedings of the 16th international joint conference on Artifical intelligence - Volume 1
Expert Systems with Applications: An International Journal
A framework for validation of rule-based systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Controls ways of the transportation capacity variation for the canvas conveyer
WSEAS Transactions on Systems and Control
WSEAS Transactions on Systems and Control
Hi-index | 0.00 |
Every expert system must continuously evolve, or it will become obsolete. This paper explores a successive testing process for evolutionary expert systems. The proposed test process is based upon applying software engineering model for overall life cycle of test process. The proposed testing process has two major complementary components: testing and maintenance. Each plays an important role in ensuring the quality of the developed expert systems. The characteristics of each phase are described in terms of testing capability and goals. The present work reports an accumulated experience gained through many years of an iterative process of developing, evaluating, deploying, and updating several expert system using CommonKADS knowledge engineering methodology at the agricultural domain at the Central Laboratory for Agricultural Expert systems (CLAES), Egypt.