Exploring and validating the contributions of real-world knowledge to the diagnostic performance of automated database design tools

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Automated database design tools employ knowledge-based systems technology in order to provide intelligent support to humans during the process of database analysis and design. However, the level to which these tools can simulate the diagnostic capabilities of human designers when performing a design task remains in question. Human designers employ what might be called "knowledge of the real world" in carrying their design activities; such knowledge is employed by only a few automated database design tools. Therefore, in recent years, there have been a number of attempts to develop tools that are capable of exploiting such real-world knowledge. It has been claimed that the use of such knowledge has the potential to increase the diagnostic performance of automated database design tools. However, to date, little if any formal exploration and validation of this claim has taken place. This paper presents our activities in exploring and validating the implications for exploiting three approaches facilitating the use and exploitation of real-world knowledge in the diagnostic performance of database design tools. The results obtained have demonstrated that the improvement of certain aspects of diagnostic performance has been achieved. However, the extent to which these aspects have been attained and subsequently statistically validated varies.

Original languageEnglish
Title of host publicationProceedings ASE 2000: 15th IEEE International Conference on Automated Software Engineering
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages177-185
Number of pages9
ISBN (Print)0769507107, 9780769507101
DOIs
Publication statusPublished - 2000
Event15th IEEE International Conference on Automated Software Engineering, ASE 2000 - Grenoble, France
Duration: 11 Sep 200015 Sep 2000

Other

Other15th IEEE International Conference on Automated Software Engineering, ASE 2000
CountryFrance
CityGrenoble
Period11/9/0015/9/00

Fingerprint

Knowledge based systems

ASJC Scopus subject areas

  • Software

Cite this

Mohd Noah, S. A., & Williams, M. (2000). Exploring and validating the contributions of real-world knowledge to the diagnostic performance of automated database design tools. In Proceedings ASE 2000: 15th IEEE International Conference on Automated Software Engineering (pp. 177-185). [873662] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ASE.2000.873662

Exploring and validating the contributions of real-world knowledge to the diagnostic performance of automated database design tools. / Mohd Noah, Shahrul Azman; Williams, M.

Proceedings ASE 2000: 15th IEEE International Conference on Automated Software Engineering. Institute of Electrical and Electronics Engineers Inc., 2000. p. 177-185 873662.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mohd Noah, SA & Williams, M 2000, Exploring and validating the contributions of real-world knowledge to the diagnostic performance of automated database design tools. in Proceedings ASE 2000: 15th IEEE International Conference on Automated Software Engineering., 873662, Institute of Electrical and Electronics Engineers Inc., pp. 177-185, 15th IEEE International Conference on Automated Software Engineering, ASE 2000, Grenoble, France, 11/9/00. https://doi.org/10.1109/ASE.2000.873662
Mohd Noah SA, Williams M. Exploring and validating the contributions of real-world knowledge to the diagnostic performance of automated database design tools. In Proceedings ASE 2000: 15th IEEE International Conference on Automated Software Engineering. Institute of Electrical and Electronics Engineers Inc. 2000. p. 177-185. 873662 https://doi.org/10.1109/ASE.2000.873662
Mohd Noah, Shahrul Azman ; Williams, M. / Exploring and validating the contributions of real-world knowledge to the diagnostic performance of automated database design tools. Proceedings ASE 2000: 15th IEEE International Conference on Automated Software Engineering. Institute of Electrical and Electronics Engineers Inc., 2000. pp. 177-185
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