Title: Using data samples in validating data models
Authors: Vladan Jovanovic; Mile Pavli?
CS Department, Allen A. Paulson College of Engineering and Information Technology, Georgia Southern University, 1500 IT Drive, Statesboro, GA 30460, USA.
OdjelzaInformatiku, Sveuciliste u Rijeci, Omladinska 14, 5100, Rijeka, Croatia
Abstract: This paper presents a method for independent data model validation. The proposed adaptation of the Sharp's method is more effective than normalisation alone and easy to learn. The paper argues that regardless of modelling notation used, both conceptual and logical data models can be validated. Furthermore, the paper presents examples covering cases of normal forms violations. Among the lessons learned is recognition of patterns that can help avoid certain modelling errors. We also report initial evidence of the effectiveness of the proposed method.
Keywords: data models; experts; independent validation; logical databases; data samples; John Sharp; agile data model validation; normalisation; normal form violations; modelling notation; conceptual data models; pattern recognition; modelling errors; knowledge engineering; soft data paradigms; computers; education.
Int. J. of Knowledge Engineering and Soft Data Paradigms, 2012 Vol.3, No.3/4, pp.356 - 378
Available online: 26 Nov 2012