Optimal release policy for hyper-geometric distribution software-reliability growth model

Rong Huei Hou; Sy Yen Kuo; Yi Ping Chang

doi:10.1109/24.556588

Optimal release policy for hyper-geometric distribution software-reliability growth model

Rong Huei Hou^*, Sy Yen Kuo, Yi Ping Chang

^*Corresponding author for this work

National Taiwan University

Research output: Contribution to journal › Journal Article › peer-review

18 Scopus citations

Abstract

Summary & Conclusions -The hyper-geometric distribution software-reliability growth model (HGDM) can estimate the number of initial faults in a software program. An important problem in software development is to determine when to stop testing and then release the software. This paper mainly investigates the optimal software release policies which minimize the mean total software cost and satisfy the software-reliability requirement based on the HGDM. The optimal software release times are determined and shown to be finite. A numerical example illustrates these optimal software release policies.

Original language	English
Pages (from-to)	646-651
Number of pages	6
Journal	IEEE Transactions on Reliability
Volume	45
Issue number	4
DOIs	https://doi.org/10.1109/24.556588
State	Published - 1996
Externally published	Yes

Keywords

Hyper-geometric distribution
Optimal release policy
Software reliability
Software testing
Softwarereliability growth model

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abstract = "Summary & Conclusions -The hyper-geometric distribution software-reliability growth model (HGDM) can estimate the number of initial faults in a software program. An important problem in software development is to determine when to stop testing and then release the software. This paper mainly investigates the optimal software release policies which minimize the mean total software cost and satisfy the software-reliability requirement based on the HGDM. The optimal software release times are determined and shown to be finite. A numerical example illustrates these optimal software release policies.",

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AB - Summary & Conclusions -The hyper-geometric distribution software-reliability growth model (HGDM) can estimate the number of initial faults in a software program. An important problem in software development is to determine when to stop testing and then release the software. This paper mainly investigates the optimal software release policies which minimize the mean total software cost and satisfy the software-reliability requirement based on the HGDM. The optimal software release times are determined and shown to be finite. A numerical example illustrates these optimal software release policies.

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KW - Optimal release policy

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KW - Software testing

KW - Softwarereliability growth model

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Optimal release policy for hyper-geometric distribution software-reliability growth model

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Keywords

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