Simulating Sensors For Light Armored Vehicles

Open Access
Kaushal, Vivek
Graduate Program:
Computer Science and Engineering
Master of Science
Document Type:
Master Thesis
Date of Defense:
July 01, 2011
Committee Members:
  • Steven Raymond Haynes, Thesis Advisor
  • Mahmut Taylan Kandemir, Thesis Advisor
  • Requirement Prioritization
  • Requirement Selection
  • Sensors
  • Army
Requirements engineering is a multi-stage process of which requirement prioritization is a key element. Even though a significant amount of research is available for requirements engineering process, research about requirements prioritization is not yet exhaustive and has much room for improvement. Due to a lack of research and awareness, many organizations are unable to optimally prioritize their requirements [1]. This thesis describes an improvement to the requirements prioritization process for scenarios involving the use of the sensors. The effectiveness of the method is demonstrated by developing a tool using the Sense and Respond project as a case study. The key features of the tool are performance, reproducibility and low user interaction. The effectiveness of the tool was demonstrated by analyzing accuracy parameter for couple of sensors used in the Sense and Respond project, wherein a sharp change in outcome was observed by a two percent change in accuracy for one of the sensors.