CMM - Based Process Improvement and Schedule Deviation in Software Maintenance

Abstract

The objective of this study is to evaluate the predictive validity of the Capability Maturity Model (CMM) for Software (SW-CMM) as applied to software maintenance. The SW-CMM is intended to apply to both software development and maintenance. A basic premise (hypothesis) of the SW-CMM is that improving process maturity will result in better project performance and product quality. The extent to which that hypothesis is supported empirically is called a test of its predictive validity. No previous evaluation exists of the predictive validity of the SW-CMM in a maintenance context. The extent to which schedule estimates differ from reality is one important measure of project performance. But is higher maturity in fact correlated with a reduction in schedule deviation? Data from 752 maintenance projects drawn from 441 SW-CMM assessments are analyzed using a zero inflated Poisson (ZIP) regression model, and the results are validated using a bootstrap estimation method. Projects from higher maturity organizations typically report less schedule deviation than those from organizations assessed at lower maturity levels.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2003
Accession Number
ADA416418

Entities

People

  • Dennis R. Goldenson
  • Ho-won Jung

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Air Force
  • Application Software
  • Data Analysis
  • Databases
  • Descriptive Analytics
  • Engineering
  • Information Science
  • Information Systems
  • Maintenance
  • Regression Analysis
  • Software Development
  • Statistical Analysis
  • Statistical Samples
  • Statistics
  • Surveys
  • Test And Evaluation
  • United States

Fields of Study

  • Computer science
  • Engineering

Readers

  • Organizational Process Management (OPM).
  • Regression Analysis.
  • Software Engineering.