Supporting Vehicle Option Change Management Through a Graph-Based Visualization Tool

2016 ◽  
Vol 17 (1) ◽  
Author(s):  
Keith Phelan ◽  
Brian Pearce ◽  
Joshua Summers ◽  
Mary Beth Kurz
Keyword(s):  
Change Management ◽  
Configuration Management ◽  
User Studies ◽  
Visualization Tool ◽  
Graph Visualization ◽  
Rule Based ◽  
Support Tool ◽  
Equipment Manufacturer ◽  
Management Techniques ◽  
Configuration Changes

When implementing configuration management methods, the amount of data required can be problematic when validating changes to the database. This is especially true for rule-based configuration management techniques. This paper presents a graph visualization tool to assist in validating changes to the rule database. The development and implementation of the tool is presented, along with the execution and results of two user studies designed to test specific aspects of the support tool. The paper then presents how the visualization tool was implemented for four ongoing configuration changes at the original equipment manufacturer (OEM) to prove the effectiveness of the tool in assisting in validating configurations changes.

Graph Visualization Styles for Use in Configuration Management: A User Study

2015 ◽  
Author(s):  
Keith Phelan ◽  
Crystal Wilson ◽  
Joshua D. Summers ◽  
Mary E. Kurz
Keyword(s):  
Change Management ◽  
User Study ◽  
Data Representation ◽  
The Other ◽  
Visualization Tool ◽  
Graph Visualization ◽  
Response Accuracy ◽  
Configuration Change ◽  
Computer Based ◽  
Different Levels

The purpose of this research is to conduct a user study in order to determine the effect of numerous variables for data representation on the ability to answer questions about the system being represented. This research will be used in the development of a computer-based visualization tool to support configuration change management. The researchers hypothesized that the graph geometry and order of the questions being asked would not affect the results, while the color of the graph and the information being represented would affect the number of correct responses. The results showed an increase in the response accuracy for the answerable questions when the amount of information displayed in the data representation was minimized. On the other hand, none of the other factors showed to have a significant effect on the accuracy of the responses. The most significant limitation in this study was the possibility for different users putting different levels of effort into answering the questions.

scholarly journals Assessing a Decision Support Tool for SOC Analysts

2021 ◽  
Author(s):  
Jassim Happa ◽  
Ioannis Agrafiotis ◽  
Martin Helmhout ◽  
Thomas Bashford-Rogers ◽  
Michael Goldsmith ◽  
...  
Keyword(s):  
Decision Support ◽  
Mixed Method ◽  
User Study ◽  
Situational Awareness ◽  
Decision Support Tool ◽  
Lessons Learned ◽  
Visualization Tool ◽  
Support Tool ◽  
Response Strategies ◽  
Method Approach

In recent years, many tools have been developed to understand attacks that make use of visualization, but few examples aims to predict real-world consequences. We have developed a visualization tool that aims to improve decision support during attacks. Our tool visualizes propagation of risks from IDS and AV-alert data by relating sensor alerts to Business Process (BP) tasks and machine assets: an important capability gap present in many Security Operation Centres (SOCs) today. In this paper we present a user study in which we evaluate the tool's usability and ability to deliver situational awareness to the analyst. Ten analysts from seven SOCs performed carefully designed tasks related to understanding risks and prioritising recovery decisions. The study was conducted in laboratory conditions, with simulated attacks, and used a mixed-method approach to collect data from questionnaires, eyetracking and voice-recorded interviews. The findings suggest that providing analysts with situational awareness relating to business priorities can help them prioritise response strategies. Finally, we provide an in-depth discussion on the wider questions related to user studies in similar conditions as well as lessons learned from our user study and developing a visualization tool of this type.

Resistance

2011 ◽  
pp. 70-83
Author(s):  
Dianne Waddell
Keyword(s):  
Information Technology ◽  
Change Management ◽  
Technological Innovation ◽  
Enterprise Resource Planning ◽  
Complex Dynamics ◽  
Resistance To Change ◽  
Resource Planning ◽  
It Investments ◽  
Employee Resistance ◽  
Management Techniques

Resistance to change has long been recognised as a critically important factor that can influence the success or otherwise of implementing any technological innovation. Information technology (IT) focused interventions, for example, business process re-engineering (BPR) and enterprise resource planning (ERP), are often quoted as examples of costly failures, with reported levels of dissatisfaction with strategic IT investments ranging from 20-70 percent and that employee resistance was to blame. The intention of this chapter is to rethink resistance. The author suggests that resistance remains to this day a complex, multi-faceted phenomenon that continues to affect the outcomes of change, both negatively and positively. Although research has procured a solid understanding of resistance and the benefits that can accrue to an organisation through its proper utilisation, it appears that the classical adversarial approach remains the dominant means of managing resistance because such learning is not reflected in modern management techniques. The author concludes that as companies in every industry are now translating the power and possibilities of e-business into strategic and operational realities, new approaches in change management are required to help organisations to understand the complex dynamics of technological innovation and especially the multifaceted nature of resistance.

Change Management of Shared and Local Versions of Health-Care Terminologies

2000 ◽  
Vol 39 (04/05) ◽  
pp. 278-290 ◽  
Author(s):  
Y. Shahar ◽  
D. E. Oliver
Keyword(s):  
Health Care ◽  
Change Management ◽  
Local Version ◽  
Support Tool ◽  
Process Synchronization ◽  
Local Site ◽  
Local Modification ◽  
Computer Based

Abstract:Local sites that adopt a shared health-care terminology for computer-based systems have local needs that prompt the local-terminology maintainers to make changes to the local version of the shared terminology. If the local site is motivated to conform to the shared terminology, then the burden lies with the local site to manage its own changes and to incorporate the changes of the shared version at periodic intervals. We call this process synchronization. We survey current approaches that address problems of sharing and local modification, and we present the CONCORDIA model, which supports carefully controlled divergence of a local version from a shared terminology. CONCORDIA provides the underlying design and methodology for the implementation of a synchronization-support tool.

scholarly journals Gragnostics: Fast, Interpretable Features for Comparing Graphs

2019 ◽  
Author(s):  
Robert Gove
Keyword(s):  
Machine Learning ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Linear Time ◽  
Interactive Visualization ◽  
Visualization Tool ◽  
Graph Visualization ◽  
Learning Classifier ◽  
Visualization Tools

Many analytical tasks, such as social network analysis, depend on comparing graphs. Existing methods are slow, or can be difficult to understand. To address these challenges, this paper proposes gragnostics, a set of 10 fast, layperson-understandable graph-level features. Each can be computed in linear time. To evaluate the ability of these features to discriminate different topologies and types of graphs, this paper compares a machine learning classifier using gragnostics to alternative classifiers, and the evaluation finds that the gragnostics classifier achieves higher performance. To evaluate gragnostics' utility in interactive visualization tools, this paper presents Chiron, a graph visualization tool that enables users to explore the subgraphs of a larger graph. Example usage scenarios of Chiron demonstrate that using gragnostics in a rank-by-feature framework can be effective for finding interesting subgraphs.

scholarly journals Hive Panel Explorer: an interactive network visualization tool

2020 ◽  
Author(s):  
Sarah E I Perez ◽  
Aria S Hahn ◽  
Martin Krzywinski ◽  
Steven J Hallam
Keyword(s):  
Data Driven ◽  
Supplementary Information ◽  
Network Visualization ◽  
Visualization Tool ◽  
Rule Based ◽  
Software Application ◽  
Interactive Network ◽  
Dynamics And Function ◽  
Multiple Network ◽  
And Function

Abstract Motivation Networks are used to relate topological structure to system dynamics and function, particularly in ecology systems biology. Network analysis is often guided or complemented by data-driven visualization. Hive one of many network visualizations, distinguish themselves as providing a general, consistent and coherent rule-based representation to motivate hypothesis development and testing. Results Here, we present HyPE, Hive Panel Explorer, a software application that creates a panel of interactive hive plots. HyPE enables network exploration based on user-driven layout rules and parameter combinations for simultaneous of multiple network views. We demonstrate HyPE’s features by exploring a microbial co-occurrence network constructed from forest soil microbiomes. Availability and implementation HyPE is available under the GNU license: https://github.com/hallamlab/HivePanelExplorer. Supplementary information Supplementary data are available at Bioinformatics online.

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