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 language | English |
|---|---|
| Pages (from-to) | 378-383 |
| Number of pages | 6 |
| Journal | Proceedings of the Asian Test Symposium |
| Publication status | Published - 2004 Dec 1 |
| Event | Proceedings of the Asian Test Symposium, ATS'04 - Kenting, Taiwan Duration: 2004 Nov 15 → 2004 Nov 17 |
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All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
Cite this
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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 journal › Conference 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.
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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 -