SYNERGISTIC VALIDATION METHODOLOGY FOR KNOWLEDGE-BASED ENGINEERING SYSTEMS

Article type: Research Article

Authors: Tanik, U. John

Affiliations: Indiana-Purdue Fort Wayne University, Fort Wayne, IN, USA

Abstract: A methodology for validation is provided for the architecture of Knowledge based Engineering (KBE) applications. A standard approach to validation is introduced, followed by the Synergistic Validation Methodology (SVM), which addresses four key aspects of KBE system validation: a) software architecture, b) product design process, c) artificial intelligence, and d) knowledge acquisition. The synergistic methodology is introduced as a comprehensive approach to validation of Knowledge-based engineering systems. This SVM approach is shown to be divided into four target divisions addressing multiple areas each, which correspond to well-defined methodologies in terms of general standards, techniques, and methods utilized. The five-tier pre-validation and post-validation process is intended to verify and validate reconfigurable, modular, and scalable KBE systems.

Keywords: validation, verification, knowledge base engineering, software architecture, product design process, artificial intelligence, knowledge acquisition

Journal: Journal of Integrated Design & Process Science, vol. 14, no. 4, pp. 1-24, 2010