Considering fault dependency and debugging time lag in reliability growth modeling during software testing

Chin Yu Huang, Chu Ti Lin, Chuan-Ching Sue

Research output: Contribution to journalConference article

2 Citations (Scopus)

Abstract

Since the early 1970's tremendous growth has been seen in the research of software reliability growth modeling. In general, software reliability growth models (SRGMs) are applicable to the late stages of testing in software development and they can provide useful information about how to improve the reliability of software products. For most existing SRGMs, most researchers assume that faults are immediately detected & corrected. However, in practice, this assumption may not be realistic and satisfied. In this paper we first give a review of fault detection and correction processes in SRGMs. We show how several existing SRGMs based on NHPP models can be comprehensively derived by applying the time-dependent delay function. Furthermore, we will show how to incorporate both failure dependency and time-dependent delay function into software reliability growth modeling. We present stochastic reliability models for software failure phenomenon based on NHPPs. Some numerical examples based on real software failure data sets are presented. The results show that the proposed framework to incorporate both failure dependency and time-dependent delay function into software reliability modeling has a useful interpretation in testing and correcting the software.

Original languageEnglish
Pages (from-to)378-383
Number of pages6
JournalProceedings of the Asian Test Symposium
Publication statusPublished - 2004 Dec 1
EventProceedings of the Asian Test Symposium, ATS'04 - Kenting, Taiwan
Duration: 2004 Nov 152004 Nov 17

Fingerprint

Software reliability
Software testing
Testing
Fault detection
Software engineering
Computer simulation

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

@article{557d435050274f22840715ae772683b5,
title = "Considering fault dependency and debugging time lag in reliability growth modeling during software testing",
abstract = "Since the early 1970's tremendous growth has been seen in the research of software reliability growth modeling. In general, software reliability growth models (SRGMs) are applicable to the late stages of testing in software development and they can provide useful information about how to improve the reliability of software products. For most existing SRGMs, most researchers assume that faults are immediately detected & corrected. However, in practice, this assumption may not be realistic and satisfied. In this paper we first give a review of fault detection and correction processes in SRGMs. We show how several existing SRGMs based on NHPP models can be comprehensively derived by applying the time-dependent delay function. Furthermore, we will show how to incorporate both failure dependency and time-dependent delay function into software reliability growth modeling. We present stochastic reliability models for software failure phenomenon based on NHPPs. Some numerical examples based on real software failure data sets are presented. The results show that the proposed framework to incorporate both failure dependency and time-dependent delay function into software reliability modeling has a useful interpretation in testing and correcting the software.",
author = "Huang, {Chin Yu} and Lin, {Chu Ti} and Chuan-Ching Sue",
year = "2004",
month = "12",
day = "1",
language = "English",
pages = "378--383",
journal = "Proceedings of the Asian Test Symposium",
issn = "1081-7735",
publisher = "IEEE Computer Society",

}

Considering fault dependency and debugging time lag in reliability growth modeling during software testing. / Huang, Chin Yu; Lin, Chu Ti; Sue, Chuan-Ching.

In: Proceedings of the Asian Test Symposium, 01.12.2004, p. 378-383.

Research output: Contribution to journalConference article

TY - JOUR

T1 - Considering fault dependency and debugging time lag in reliability growth modeling during software testing

AU - Huang, Chin Yu

AU - Lin, Chu Ti

AU - Sue, Chuan-Ching

PY - 2004/12/1

Y1 - 2004/12/1

N2 - Since the early 1970's tremendous growth has been seen in the research of software reliability growth modeling. In general, software reliability growth models (SRGMs) are applicable to the late stages of testing in software development and they can provide useful information about how to improve the reliability of software products. For most existing SRGMs, most researchers assume that faults are immediately detected & corrected. However, in practice, this assumption may not be realistic and satisfied. In this paper we first give a review of fault detection and correction processes in SRGMs. We show how several existing SRGMs based on NHPP models can be comprehensively derived by applying the time-dependent delay function. Furthermore, we will show how to incorporate both failure dependency and time-dependent delay function into software reliability growth modeling. We present stochastic reliability models for software failure phenomenon based on NHPPs. Some numerical examples based on real software failure data sets are presented. The results show that the proposed framework to incorporate both failure dependency and time-dependent delay function into software reliability modeling has a useful interpretation in testing and correcting the software.

AB - Since the early 1970's tremendous growth has been seen in the research of software reliability growth modeling. In general, software reliability growth models (SRGMs) are applicable to the late stages of testing in software development and they can provide useful information about how to improve the reliability of software products. For most existing SRGMs, most researchers assume that faults are immediately detected & corrected. However, in practice, this assumption may not be realistic and satisfied. In this paper we first give a review of fault detection and correction processes in SRGMs. We show how several existing SRGMs based on NHPP models can be comprehensively derived by applying the time-dependent delay function. Furthermore, we will show how to incorporate both failure dependency and time-dependent delay function into software reliability growth modeling. We present stochastic reliability models for software failure phenomenon based on NHPPs. Some numerical examples based on real software failure data sets are presented. The results show that the proposed framework to incorporate both failure dependency and time-dependent delay function into software reliability modeling has a useful interpretation in testing and correcting the software.

UR - http://www.scopus.com/inward/record.url?scp=13244291298&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=13244291298&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:13244291298

SP - 378

EP - 383

JO - Proceedings of the Asian Test Symposium

JF - Proceedings of the Asian Test Symposium

SN - 1081-7735

ER -