A non-parametric approach to software reliability: Research Articles

Authors:
Axel Gandy;Uwe Jensen
Affiliations:
Department of Stochastics, University of Ulm, Ulm D-89069, Germany;Department of Stochastics, University of Ulm, Ulm D-89069, Germany
Venue:
Applied Stochastic Models in Business and Industry - Reliability
Year:
2004

Citing 0
Cited 3

Mining software code repositories and bug databases using survival analysis models

Proceedings of the Second ACM-IEEE international symposium on Empirical software engineering and measurement
Wavelet-based approach for estimating software reliability

ISSRE'09 Proceedings of the 20th IEEE international conference on software reliability engineering
A comparative study of data transformations for wavelet shrinkage estimation with application to software reliability assessment

Advances in Software Engineering - Special issue on Software Quality Assurance Methodologies and Techniques

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we present a new, non-parametric approach to software reliability. It is based on a multivariate counting process with additive intensity, incorporating covariates and including several projects in one model. Furthermore, we present ways to obtain failure data from the development of open source software. We analyse a data set from this source and consider several choices of covariates. We are able to observe a different impact of recently added and older source code onto the failure intensity. Copyright © 2004 John Wiley & Sons, Ltd.