A non-parametric approach to software reliability

被引：20

作者：

Gandy, A ^{[1
]}

Jensen, U ^{[1
]}

机构：

[1] Univ Ulm, Dept Stochast, D-89069 Ulm, Germany

来源：

APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY | 2004年 / 20卷 / 01期

关键词：

software reliability; open source software; multivariate counting processes; Aalen model; additive risk model; survival analysis;

D O I：

10.1002/asmb.510

中图分类号：

C93 [管理学]; O22 [运筹学];

学科分类号：

070105 ; 12 ; 1201 ; 1202 ; 120202 ;

摘要：

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 (C) 2004 John Wiley Sons, Ltd.

引用

页码：3 / 15

页数：13

共 18 条

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[18] [No title captured]

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