Stochastic Differential Equation-Based Flexible Software Reliability Growth Model

Joint Authors

Anand, Sameer
Kapur, P. K.
Yamada, Shigeru
Yadavalli, Venkata S. S.

Source

Mathematical Problems in Engineering

Issue

Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-15, 15 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2009-07-02

Country of Publication

Egypt

No. of Pages

15

Main Subjects

Civil Engineering

Abstract EN

Several software reliability growth models (SRGMs) have been developed by software developers in tracking and measuring the growth of reliability.

As the size of software system is large and the number of faults detected during the testing phase becomes large, so the change of the number of faults that are detected and removed through each debugging becomes sufficiently small compared with the initial fault content at the beginning of the testing phase.

In such a situation, we can model the software fault detection process as a stochastic process with continuous state space.

In this paper, we propose a new software reliability growth model based on Itô type of stochastic differential equation.

We consider an SDE-based generalized Erlang model with logistic error detection function.

The model is estimated and validated on real-life data sets cited in literature to show its flexibility.

The proposed model integrated with the concept of stochastic differential equation performs comparatively better than the existing NHPP-based models.

American Psychological Association (APA)

Kapur, P. K.& Anand, Sameer& Yamada, Shigeru& Yadavalli, Venkata S. S.. 2009. Stochastic Differential Equation-Based Flexible Software Reliability Growth Model. Mathematical Problems in Engineering،Vol. 2009, no. 2009, pp.1-15.
https://search.emarefa.net/detail/BIM-482492

Modern Language Association (MLA)

Kapur, P. K.…[et al.]. Stochastic Differential Equation-Based Flexible Software Reliability Growth Model. Mathematical Problems in Engineering No. 2009 (2009), pp.1-15.
https://search.emarefa.net/detail/BIM-482492

American Medical Association (AMA)

Kapur, P. K.& Anand, Sameer& Yamada, Shigeru& Yadavalli, Venkata S. S.. Stochastic Differential Equation-Based Flexible Software Reliability Growth Model. Mathematical Problems in Engineering. 2009. Vol. 2009, no. 2009, pp.1-15.
https://search.emarefa.net/detail/BIM-482492

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-482492