Software Reliability Growth Models Based on Non-Homogeneous Poisson Process

Author

Du XianFeng ; Qiang ZanXia

Author_Institution

Sch. Of Comput. Sci., Zhongyuan Inst. of Technol., Zhongzhou, China

fYear

2009

fDate

19-20 Dec. 2009

Firstpage

1

Lastpage

3

Abstract

Non-homogeneous Poisson process (NHPP) model with typical reliability growth patterns is an important technology about evaluating software reliability. Two parameters which affect software reliability are original failures number and failure-detected rate. The paper firstly defines the software failure distributed and discusses a few kinds´ software reliability models. Non-homogeneous Poisson process model is presented. The models with different parameters are discussed and analyzed. The model´s restrict condition and some of parameters, original failures number and failure-detected ratio, are extrapolated. Assessment methodology about key parameters is given.

Keywords

software reliability; stochastic processes; non-homogeneous Poisson process; reliability growth patterns; software reliability growth models; Computer science; Fault detection; Mathematical model; Mathematics; Programming; Robustness; Software engineering; Software performance; Software reliability; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4994-1

Type

conf

DOI

10.1109/ICIECS.2009.5366273

Filename

5366273