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Experiences using Visualization Techniques to Present Requirements, Risks to them, and Options for Risk Mitigation. Paper Presentation. Authors: Martin S. Feather, Steven L. Confo rd , James D. Kiper , Tim Menzies. CST 294 – Topic : Interactive Graphics & Visual Analytics.

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  1. Experiences using Visualization Techniques to Present Requirements, Risks to them, and Options for Risk Mitigation Paper Presentation Authors: Martin S. Feather, Steven L. Conford, James D. Kiper, Tim Menzies CST 294 – Topic: Interactive Graphics & Visual Analytics Presentation by: Rehman chughtai

  2. Introduction • Risk-based decision process to guide development and application of advanced technologies, and for research and technology portfolio planning. • Jet Propulsion Laboratory California Institute of Technology • http://www.jpl.nasa.gov/

  3. Introduction (excerpt from Abstract) “…The process is supported by custom software, in which visualizationplays an important role. During requirements gathering, visualization is used to help scrutinize the status (completeness, extent) of the information. During decision making based on the gathered information, visualization is used to help decision makers understand the space of options and their consequences. In this paper we summarize the visualization capabilities that we have employed, indicating when and how they have proven useful”.[Feather et al.]

  4. Figure 1. Bar chart of Risks’ status impact Risk No Mitigation With Mitigation

  5. Figure 2. Ranges of risks Range Consequence of uncertainty

  6. Figure 3. Treemap display of requirements Proportion attained of 1.0 Size represents relative importance Color represents attainment status Proportion attained of 0.0

  7. Figure 4. 2-D chart of risks

  8. Figure 5. Comparing two designs' risks Where risk has increased Comparison to Figure 1 Where risk has decreased

  9. Figure 6. Kiviat chart of several designs' risks Each color represents a different design

  10. Figure 7. Cost-benefit tradespace chart Each point in cloud is a solution. About 300,000 solutions

  11. Figure 8. Neighborhood of interest About 3000 solutions

  12. Figure 9. Convergence as iterations identifykey decisions Several iterations between DDP tool and the treatment learning tool High benefit

  13. Figure 10.Contribution of an individual mitigation Points in solution not involving Mitigation of interest Points in solution involving Mitigation of interest

  14. Figure 11. Snapshots of each Mitigations contributions

  15. Figure 12. Visualization of 10 dispersed solutions

  16. Figure 13. Visualization of clusters ofsolutions “… white (cell)means not involved in any of the solutions within that cluster; black (cell)means involved in all the solutions within that cluster, and intermediate shades of grey denote intermediate levels of involvement.” Each column represents a cluster of mitigations – a solution

  17. Figure 14. Topology of Needs-Areas-Researchers 198 leaf nodes in the software area of the ACM Computing Classification System Red lines connect practitioners with their expressed needs Green lines connect Researchers to areas they work in

  18. Figure 15. Topology coupled with bar chart

  19. Figure 16. Fulfillment of needs from several research efforts Unfulfilled need Fulfilled need, by currently selected researcher

  20. References • Feather, M. S., Cornford, S. L., Kiper, J. D., & Menzies, T. (2006, September). Experiences using visualization techniques to present requirements, risks to them, and options for risk mitigation. In Requirements Engineering Visualization, 2006. REV'06. First International Workshop on (pp. 10-10). IEEE. • http://www.jpl.nasa.gov/

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