NDLI: Bayesian updating of optimal release time for software systems

Content Provider	Springer Nature Link
Author	Chiu, Kuei Chen Ho, Jyh Wen Huang, Yeu Shiang
Copyright Year	2008
Abstract	In this paper, a Bayesian method dealing with software reliability growth with consideration of the learning effect is proposed to determine an optimal release time for software systems with regard to the testing cost and experts’ prior judgments. Such an approach is able to devise an appropriate software-debugging scheme which has the best arrangement of available resources and personnel with a minimal software testing cost when lacking sufficient information for decision making. Past research on software reliability emphasized the estimation of the number of cumulative software errors or the software reliability with respect to a specific time period, yet it neglected the determination of software release time with consideration of the software testing cost, meaning that existing approaches are not entirely practical. Accordingly, the proposed method is concerned with the evaluation of the software testing cost incurred during the testing period based on experts’ prior judgments and the software testing data collected within a given duration, and is thus characterized by its practicality as well as meaningfulness with consideration of the learning effect. Finally, a numerical example is given to verify the effectiveness of the proposed approach, and sensitivity and risk analyses are performed on this example.
Starting Page	99
Ending Page	120
Page Count	22
File Format	PDF
ISSN	09639314
Journal	Software Quality Journal
Volume Number	17
Issue Number	1
e-ISSN	15731367
Language	English
Publisher	Springer US
Publisher Date	2008-09-08
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Bayesian statistical method Software release time Software reliability growth model Software testing/debugging Operating Systems Data Structures, Cryptology and Information Theory Programming Languages, Compilers, Interpreters Software Engineering/Programming and Operating Systems
Content Type	Text
Resource Type	Article
Subject	Safety, Risk, Reliability and Quality Media Technology Software

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