Using linear regression models to analyse the effect of software process improvement

Authors:
Joost Schalken;Sjaak Brinkkemper;Hans van Vliet
Affiliations:
Department of Computer Science, Vrije Universiteit, Amsterdam;Institute of Information and Computing Sciences, Utrecht University;Department of Computer Science, Vrije Universiteit, Amsterdam
Venue:
PROFES'06 Proceedings of the 7th international conference on Product-Focused Software Process Improvement
Year:
2006

Citing 8
Cited 0

Software engineering metrics and models

Software engineering metrics and models
Software improvements in an international company

ICSE '93 Proceedings of the 15th international conference on Software Engineering
Software Cost Estimation with Cocomo II with Cdrom

Software Cost Estimation with Cocomo II with Cdrom
Software Metrics: A Rigorous and Practical Approach

Software Metrics: A Rigorous and Practical Approach
Point: Why We Should Use Function Points

IEEE Software
How Software Process Improvement Helped Motorola

IEEE Software
Attaining Level 5 in CMM Process Maturity

IEEE Software
Do SQA Programs Work - CMM Works. A Meta Analysis

SWSTE '05 Proceedings of the IEEE International Conference on Software - Science, Technology & Engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we publish the results of a thorough empirical evaluation of a CMM-based software process improvement program that took place at the IT department of a large Dutch financial institution. Data of 410 projects collected over a period of four years are analysed and a productivity improvement of about 20% is found. In addition to these results we explain how the use of linear regression models and hierarchical linear models greatly enhances the sensitivity of analysis of empirical data on software improvement programs.