Use and Organizational Effects of Measurement and Analysis in High Maturity Organizations: Results from the 2008 SEI State of Measurement and Analysis Practice Surveys

Abstract

There has been a great deal of discussion of late about what it takes for organizations to attain high maturity status and what they can reasonably expect to gain by doing so. Clarification is needed along with good examples of what has worked well and what has not. This may be particularly so with respect to measurement and analysis. This report contains results from a survey of high maturity organizations conducted by the Software Engineering Institute (SEI) in 2008. The questions center on the use of process performance modeling in those organizations and the value added by that use. The results show considerable understanding and use of process performance models among the organizations surveyed; however there is also wide variation in the respondents? answers. The same is true for the survey respondents? judgments about how useful process performance models have been for their organizations. As is true for less mature organizations, there is room for continuous improvement among high maturity organizations. Nevertheless, the respondents? judgments about the value added by doing process performance modeling also vary predictably as a function of the understanding and use of the models in their respective organizations. More widespread adoption and improved understanding of what constitutes a suitable process performance model holds promise to improve CMMI-based performance outcomes considerably.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2009
Accession Number
ADA537187

Entities

People

  • Dennis R. Goldenson
  • James Mccurley
  • Robert W. Stoddard Ii

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Engineered Resilient Systems
  • Human Systems

DTIC Thesaurus Topics

  • Application Software
  • Business Administration
  • Computer Programming
  • Data Mining
  • Data Science
  • Databases
  • Engineering
  • Information Science
  • Knowledge Management
  • Management Personnel
  • Measurement
  • Organizational Structure
  • Predictive Modeling
  • Regression Analysis
  • Software Development
  • Surveys
  • Systems Engineering

Readers

  • Educational Psychology
  • Organizational Process Management (OPM).
  • Systems Analysis and Design