Theses and Dissertations
Issuing Body
Mississippi State University
Advisor
Niu, Nan
Committee Member
Dampier, David
Committee Member
Allen, Edward B.
Date of Degree
5-17-2014
Document Type
Graduate Thesis - Open Access
Major
Computer Science
Degree Name
Master of Science (M.S.)
College
James Worth Bagley College of Engineering
Department
Department of Computer Science and Engineering
Abstract
Keeping track of requirements from eliciting data to making decision needs an effective path from data to decision [43]. Visualization science helps to create this path by extracting insights from flood of data. Model helps to shape the transformation of data to visualization. Defect Detection and Prevention model was created to assess quality assurance activities. We selected DDP and started enhancing user interactivity with requirements visualization over basic DDP with implementing a visual requirements analytics framework. By applying GQM table to our framework, we added six visualization features to the existing visual requirements visualization approaches. We applied this framework to technical and non-technical stakeholder scenarios to gain the operational insights of requirements-driven risk mitigation in practice. The combination of the first and second scenarios' result presented the multiple stakeholders scenario result which was a small number of strategies from kept tradespase with common mitigations that must deploy to the system.
URI
https://hdl.handle.net/11668/18100
Recommended Citation
Rad, Shirin, "Enhancing Requirements-Level Defect Detection and Prevention with Visual Analytics" (2014). Theses and Dissertations. 1895.
https://scholarsjunction.msstate.edu/td/1895