Prediction of requirements engineering using a multi scale probabilistic approach: case study FFG(X) combat ship

Author

Mahdi Boucetta

Issuing Body

Mississippi State University

Advisor

Jaradat, Raed

Committee Member

Tompkins, Matthew

Committee Member

Ma, Junfeng

Date of Degree

8-7-2020

Original embargo terms

Worldwide

Document Type

Graduate Thesis - Open Access

Major

Industrial and Systems Engineering

Degree Name

Master of Science

College

James Worth Bagley College of Engineering

Department

Department of Industrial and Systems Engineering

Abstract

Requirements engineering in a system-engineering project is a key factor in the success of a project. In the current state, stand-alone research has been conducted tackling this area, however, few studies addressed the requirements based on a probabilistic approach. In this thesis, a multi-scale probabilistic approach has been developed, named Bayesian Network, to evaluate the requirements engineering of a complex systems In order to pursue the aim of this paper, the FFG(X) navy ship is chosen to serve as a case study and to validate the proposed model. Results indicate the sub-requirements that highly affect the FFG capability/performance. These sub-requirements are: 1) guns, 2) ballistic missiles, 3) antisubmarine, and 4) radar.

URI

https://hdl.handle.net/11668/18094

Comments

Requirement engineering||complex systems||FFG(X) navy ship

Recommended Citation

Boucetta, Mahdi, "Prediction of requirements engineering using a multi scale probabilistic approach: case study FFG(X) combat ship" (2020). Theses and Dissertations. 3608.
https://scholarsjunction.msstate.edu/td/3608