A bayesian analysis of beta testing

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dc.contributor.author Wiper, Michael Peter
dc.contributor.author Wilson, Simon P.
dc.date.accessioned 2006-11-09T10:49:58Z
dc.date.available 2006-11-09T10:49:58Z
dc.date.issued 2003-07
dc.identifier.uri http://hdl.handle.net/10016/196
dc.description.abstract In this article, we define a model for fault detection during the beta testing phase of a software design project. Given sampled data, we illustrate how to estimate the failure rate and the number of faults in the software using Bayesian statistical methods with various different prior distributions. Secondly, given a suitable cost function, we also show how to optimise the duration of a further test period for each one of the prior distribution structures considered.
dc.format.extent 1236273 bytes
dc.format.mimetype application/pdf
dc.language.iso eng
dc.language.iso eng
dc.relation.ispartofseries UC3M Working Papers. Statistics and Econometrics
dc.relation.ispartofseries 2003-07
dc.title A bayesian analysis of beta testing
dc.type workingPaper
dc.subject.eciencia Estadística
dc.rights.accessRights openAccess
dc.identifier.repec ws033107
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