Return on investment of software quality predictions
- 27 November 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
Software quality classification models can be used to target reliability enhancement efforts toward high risk modules. We summarize a generalized classification rule which we have proposed. Cost aspects of a software quality classification model are discussed. The contribution of this paper is a demonstration of how to assess the return on investment of model accuracy, in the context of a software quality classification model.An industrial case study of a very large telecommunications system illustrates the method. The dependent variable of the model was the probability that a module will have faults discovered by customers. The independent variables were software product and process metrics. The model is compared to random selection of modules for reliability enhancement. Calculation of return on investment can guide selection of the generalized-classification rule's parameter so that the model is well-suited to the project.Keywords
This publication has 7 references indexed in Scilit:
- A methodology to improve switching system software service quality and reliabilityPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- ARMOR: analyzer for reducing module operational riskPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Using process history to predict software qualityComputer, 1998
- Emerald: software metrics and models on the desktopIEEE Software, 1996
- Measurement of software service quality for large telecommunications systemsIEEE Journal on Selected Areas in Communications, 1990
- Studies on measuring softwareIEEE Journal on Selected Areas in Communications, 1990
- Multivariate ObservationsPublished by Wiley ,1984