Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

The Business Case for Systems Engineering Study: Results of the Systems Engineering Effectiveness Survey

Elm, Joseph P and Goldenson, Dennis (2012) The Business Case for Systems Engineering Study: Results of the Systems Engineering Effectiveness Survey. Technical Report. Carnegie Mellon University, Pittsburgh, PA USA.

[img]
Preview
PDF
Available under License : See the attached license file.

Download (1MB) | Preview
[img] Plain Text (licence)
Available under License : See the attached license file.

Download (1kB)

Abstract

This report summarizes the results of a survey that had the goal of quantifying the connection between the application of systems engineering (SE) best practices to projects and programs and the performance of those projects and programs. The survey population consisted of projects and programs executed by system developers reached through the National Defense Industrial Association Systems Engineering Division (NDIA-SED), the Institute of Electrical and Electronics Engineers Aerospace and Electronic Systems Society (IEEE-AESS), and the International Council on Systems Engineering (INCOSE). Analysis of survey responses revealed strong statistical relationships between project performance and several categories of specific SE best practices. The survey results show notable differences in the relationship between SE best practices and performance between more challenging and less challenging projects. The statistical relationship with project performance is quite strong for survey data of this kind when both SE capability and project challenge are considered together.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: Monograph (Technical Report)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Elm, Joseph Pjpe18@pitt.eduJPE18
Goldenson, Dennis
Monograph Type: Technical Report
Date: 21 December 2012
Date Type: Publication
Number: CMU/SE
Publisher: Carnegie Mellon University
Place of Publication: Pittsburgh, PA USA
Page Range: 1 - 154
Institution: University of Pittsburgh
Schools and Programs: Swanson School of Engineering > Industrial Engineering
Refereed: No
Date Deposited: 22 Mar 2018 14:37
Last Modified: 02 Jan 2019 15:04
URI: http://d-scholarship.pitt.edu/id/eprint/33922

Metrics

Monthly Views for the past 3 years

Plum Analytics


Actions (login required)

View Item View Item