Tacit knowledge formalization to support the adoption process of software quality models

  • Authors:

  • Violeta Ocegueda-Miramontes;Reyes Juárez-Ramírez

  • Affiliations:

  • School of Chemical Sciences and Engineering, Autonomous University of Baja California, Tijuana, B.C., México;School of Chemical Sciences and Engineering, Autonomous University of Baja California, Tijuana, B.C., México

  • Venue:
  • IUKM'13 Proceedings of the 2013 international conference on Integrated Uncertainty in Knowledge Modelling and Decision Making
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

Due to the key role played by tacit knowledge in the adoption process of a quality model, this paper aims to present a first approach to formalize its expression so that it can be captured and stored for later reuse. It is propose to express tacit knowledge in the form of rules, and add a degree of belief to represent an expert judgment. The degree of belief is calculated by using the certainty factors theory to allow individual's expertise to be used in the evaluation of the rules.