End-User Support for Debugging Demonstration-Based Model Transformation Execution

2013 ◽  
pp. 86-100 ◽  
Author(s):  
Yu Sun ◽  
Jeff Gray
Keyword(s):  
Model Transformation ◽  
End User ◽  
User Support

Improving Satisfaction with End-User Support

2003 ◽  
Author(s):  
Nancy Shaw ◽  
Fred Niederman ◽  
Joo-Eng Lee-Partridge
Keyword(s):  
End User ◽  
User Support

Preparing End User Support Specialists

2002 ◽  
Vol 78 (2) ◽  
pp. 92-96 ◽  
Author(s):  
Susan E. Yager ◽  
John F. Schrage ◽  
Ronald L. Berry
Keyword(s):  
End User ◽  
User Support

Sources of dissatisfaction in end-user support

2002 ◽  
Vol 33 (2) ◽  
pp. 41-56 ◽  
Author(s):  
Nancy C. Shaw ◽  
William H. DeLone ◽  
Fred Niederman
Keyword(s):  
End User ◽  
User Support

scholarly journals A Tool for Modelling Business Behaviour Using Decision Tables

2020 ◽  
Author(s):  
T Antunes ◽  
Pedro Antunes ◽  
David Johnstone ◽  
VT Nghia ◽  
N Hoang Thuan
Keyword(s):  
Case Studies ◽  
End Users ◽  
End User ◽  
Effective Technique ◽  
Actionable Knowledge ◽  
User Support ◽  
Decision Tables

© 2019 IEEE. Decision tables have been recently recognised as an effective technique to model business behaviour. The increasing adoption of decision tables in this context requires appropriate end-user support. Although several tools have been developed using decision tables, few have been targeted to business end users. This paper fulfils this gap by proposing a tool supporting end users to capture and model business behaviour. The proposed tool integrates decision tables for capturing actionable knowledge using ontology technology. The tool is validated in two case studies.

Abstract 25: End User Support for Telemedicine Oncology Care in Sub Saharan Africa

2021 ◽  
Author(s):  
Lamech Sigu ◽  
Emmah Achieng ◽  
Chite Asirwa ◽  
Gloria Kitur
Keyword(s):  
Sub Saharan Africa ◽  
End User ◽  
User Support ◽  
Oncology Care ◽  
Sub Saharan

scholarly journals VMTL: a language for end-user model transformation

2016 ◽  
Vol 17 (4) ◽  
pp. 1139-1167 ◽  
Author(s):  
Vlad Acreţoaie ◽  
Harald Störrle ◽  
Daniel Strüber
Keyword(s):  
Model Transformation ◽  
User Model ◽  
End User

scholarly journals Measuring the effects of laboratory automation: The power of empirically derived models

1992 ◽  
Vol 14 (2) ◽  
pp. 55-57
Author(s):  
Gerry Fitzgerald ◽  
Jim Swanson
Keyword(s):  
Data Processing ◽  
Information Flow ◽  
Laboratory Data ◽  
Support Needs ◽  
Data Systems ◽  
Laboratory Automation ◽  
End User ◽  
User Support ◽  
Different Types ◽  
The Impact

Laboratory data systems are automated for a variety of scientific and management reasons. A key part to maintaining these systems is to regularly assess the impact that automation has had on the laboratory and the organization as a whole. Smith Kline Beecham R&D is using a number of different types of measurement, as well as a number of different tools, for measuring how automated laboratory systems are affecting the workflow and information flow in the laboratory. This targeted programme of metrics has increased management confidence in laboratory automation efforts, helped anticipate data processing bottlenecks, and highlighted end-user support needs.

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