Accession Number:

ADA416418

Title:

CMM - Based Process Improvement and Schedule Deviation in Software Maintenance

Descriptive Note:

Final rept.

Corporate Author:

CARNEGIE-MELLON UNIV PITTSBURGH PA SOFTWARE ENGINEERING INST

Personal Author(s):

Report Date:

2003-07-01

Pagination or Media Count:

48.0

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.

Subject Categories:

  • Computer Programming and Software

Distribution Statement:

APPROVED FOR PUBLIC RELEASE