Identifying and Managing Technical Debt in Database Normalization Using Machine Learning and Trade-off Analysis

Autor: Albarak, Mashel, Alrazgan, Muna, Bahsoon, Rami

Technical debt is a metaphor that describes the long term effects of shortcuts taken in software development activities to achieve near term goals. In this study, we explore a new context of technical debt that relates to database normalization desig

Externí odkaz: http://arxiv.org/abs/1711.06109

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Investigating IT Faculty Resistance to Learning Management System Adoption Using Latent Variables in an Acceptance Technology Model.

Autor: Bousbahi, Fatiha, Alrazgan, Muna Saleh

Publikováno v: Scientific World Journal; 9/30/2015, Vol. 2015, p1-11, 11p

Investigating IT Faculty Resistance to Learning Management System Adoption Using Latent Variables in an Acceptance Technology Model.

Autor: Bousbahi F; Information Technology Department, College of Computer and Information Sciences, King Saud University, P.O. Box 22452, Riyadh 11495, Saudi Arabia., Alrazgan MS; Information Technology Department, College of Computer and Information Sciences, King Saud University, P.O. Box 22452, Riyadh 11495, Saudi Arabia.

Publikováno v: TheScientificWorldJournal [ScientificWorldJournal] 2015; Vol. 2015, pp. 375651. Date of Electronic Publication: 2015 Sep 30.