Validation Of Knowledge-Based Systems: A Reassessment Of The Field

Keywords

Knowledge-based systems; Lifecycle model; Software testing; Test cases; Validation

Abstract

The subject of validation and verification (V&V) of knowledge-based systems (KBS) has been one of decreasing importance in the last decade. Research and development in the field reduced drastically. One of the main reasons is the persistent software challenges and failures. These failures have been categorized in different ways. One initiative however, which most researchers in the field agree upon, is that the only way to eliminate these problems is by rigorously performing V&V. Although there have been vast improvements in the field of V&V methodology, studies indicate that KBS industry still lacks rigorous validation methods. In this paper, we review the most important validation paradigms described in literature for KBS during the years of their fame. Additionally, this article studies the significant methods, aims to reassess these methods in light of recent advances, and propose new future directions for validation of KBS.

Publication Date

4-1-2015

Publication Title

Artificial Intelligence Review

Volume

43

Issue

4

Number of Pages

485-500

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1007/s10462-013-9396-9

Socpus ID

84924851096 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84924851096

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