A Survey of Systems Engineering Effectiveness - Initial Results (With Detailed Survey Response Data)

Abstract

This survey quantifies the relationship 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 defense contractors who are members of the Systems Engineering Division (SED) of the National Defense Industrial Association (NDlA). The deployment of SE practices on a project or program was measured through the availability and characteristics of specific SE-related work products. Project Performance was measured through typically available project measures of cost performance schedule performance and scope performance. Additional project and program information such as project size project domain and other data was also collected to aid in characterizing the respondent's project. Analysis of the survey responses revealed moderately strong statistical relationships between Project Performance and several categorizations of specific of SE best practices. Notably stronger relationships are apparent by combining the effects of more than one the best practices categories. Of course, Systems Engineering Capability alone does not ensure outstanding Project Performance. The survey results show notable differences in the relationship between SE best practices and performance between more challenging as compared to less challenging projects. The statistical relationship between Project Performance and the combination of SE Capability and Project Challenge is quite strong tor survey data of this type.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2008
Accession Number
ADA491819

Entities

People

  • Angelica Neisa
  • Dennis R. Goldenson
  • Joseph P. Elm
  • Khaled E. Emam
  • Nicole Donatelli

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Best Practices
  • Business Administration
  • Configuration Management
  • Contractors
  • Data Analysis
  • Engineering
  • Engineers
  • Information Science
  • Lessons Learned
  • National Security
  • Risk Analysis
  • Risk Management
  • Security
  • Software Development
  • Statistical Analysis
  • Systems Engineering
  • Test And Evaluation

Fields of Study

  • Computer science
  • Engineering

Readers

  • Organizational Process Management (OPM).
  • Organizational Psychology.
  • Software Engineering.