NDLI: Metrics-Based Software Reliability Models Using Non-homogeneous Poisson Processes

Content Provider	IEEE Xplore Digital Library
Author	Shibata, K. Rinsaka, K. Dohi, T.
Copyright Year	2006
Description	Author affiliation: Dept. of Inf. Eng., Hiroshima Univ. (Shibata, K.; Rinsaka, K.; Dohi, T.)
Abstract	The traditional software reliability models aim to describe the temporal behavior of software fault-detection processes with only the fault data, but fail to incorporate some significant test-metrics data observed in software testing. In this paper we develop a useful modeling framework to assess the quantitative software reliability with time-dependent covariate as well as software-fault data. The basic ideas employed here are to introduce the discrete proportional hazard model on a cumulative Bernoulli trial process, and to represent a generalized fault-detection processes having time-dependent covariate structure. The resulting stochastic models are regarded as combinations of the proportional hazard models and the familiar non-homogeneous Poisson processes. We compare these metrics-based software reliability models with some typical non-homogeneous Poisson process models, and evaluate quantitatively both goodness-of-fit and predictive performances from the viewpoint of information criteria. As an important result, the accuracy on reliability assessment strongly depends on the kind of software metrics used for analysis and can be improved by incorporating time-dependent metrics data in modeling
Starting Page	52
Ending Page	61
File Size	238113
Page Count	10
File Format	PDF
ISBN	0769526845
ISSN	10719458
DOI	10.1109/ISSRE.2006.28
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-11-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Software reliability Software testing Prognostics and health management Predictive models Software quality Hazards Stochastic processes Software metrics Software measurement Reliability engineering
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Proportional Intensity-Based Software Reliability Modeling with Time-Dependent Metrics

Generalized Cox Proportional Hazards Regression-Based Software Reliability Modeling with Metrics Data

A DCA-based method for software prognostics and health management

Non-homogeneous Inverse Gaussian Software Reliability Models

Two-Dimensional Software Reliability Models and Their Application

Towards quantitative software reliability assessment in incremental development processes

An Assessment of Testing-Effort Dependent Software Reliability Growth Models

Software Reliability Growth Models Based on Non-Homogeneous Poisson Process

Using a proportional hazards model to analyze software reliability

Metrics-Based Software Reliability Models Using Non-homogeneous Poisson Processes

Similar Documents

Proportional Intensity-Based Software Reliability Modeling with Time-Dependent Metrics

Generalized Cox Proportional Hazards Regression-Based Software Reliability Modeling with Metrics Data

A DCA-based method for software prognostics and health management

Non-homogeneous Inverse Gaussian Software Reliability Models

Two-Dimensional Software Reliability Models and Their Application

Towards quantitative software reliability assessment in incremental development processes

An Assessment of Testing-Effort Dependent Software Reliability Growth Models

Software Reliability Growth Models Based on Non-Homogeneous Poisson Process

Using a proportional hazards model to analyze software reliability

Metrics-Based Software Reliability Models Using Non-homogeneous Poisson Processes