CMM-Based Process Improvement and Schedule Deviation in Software Maintenance
July 2003 • Technical Note
Ho-Won Jung, Dennis Goldenson
This study evaluates the predictive validity of the Capability Maturity Model (CMM) for Software (SW-CMM) as applied to software maintenance.
Software Engineering Institute
CMU/SEI Report Number
DOI (Digital Object Identifier):10.1184/R1/6572249.v1
Please note that current and future CMMI research, training, and information has been transitioned to the CMMI Institute, a wholly-owned subsidiary of Carnegie Mellon University.
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.