Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/77034
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dc.coverage.spatialFindBug, Exponential Power Model, Bayesian Estimates, Weibull Distribution, Artificial Neural Network
dc.date.accessioned2016-03-21T06:43:32Z-
dc.date.available2016-03-21T06:43:32Z-
dc.identifier.urihttp://hdl.handle.net/10603/77034-
dc.description.abstractThe current research work is intended for individuals from various industries interested in applying software reliability measurement development and management concept in the real environment The concept of software reliability can also be represented empirically by the quantity of defects in the unit time One of the interesting concepts is that the association between the intensity of the defects and reliability totally depends upon the model that is used for evaluation Problem reports are not necessarily a sign of poor reliability users often complain about highly reliable programs because their high reliability often leads both customers and engineers to extremely high expectations Still information is often available that may help gauge a programs likely reliability Open source software has risen to great a prominence Users have access to the human readable source code to the program Most of the OSS are commercial software and they do not make the mistake of equating with non commercial OSS Many models try to assess whether a software testing objective has been met to determine when to stop testing These models are based on various sets of assumptions about the software and its execution environment Software reliability growth models use data about the times that failures occur to estimate the number of remaining failures in a system Generally SRGMs estimate the number of failures in a system However existing empirical evidence shows that SRGMs can also be applied on error data to estimate the number of defects in a system
dc.format.extent173 P.
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleReliability Study and Analysis of Open Source Enterprise Resource Planning Software Package
dc.title.alternative
dc.creator.researcherVikram N Bahadurdesai
dc.subject.keywordSoftware Reliability
dc.subject.keywordOpen source
dc.subject.keywordEnterprise Resource Planning
dc.subject.keywordExponential Power Model
dc.subject.keywordSoftware reliability Models
dc.description.note
dc.contributor.guideSuresh A V
dc.publisher.placeCoimbatore
dc.publisher.universityAvinashilingam Deemed University For Women
dc.publisher.institutionDepartment of Computer Science and Engineering
dc.date.registered21/04/2009
dc.date.completed18/10/2012
dc.date.awarded09/03/2016
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science and Engineering

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vikram_appendix.pdfAttached File1.69 MBAdobe PDFView/Open
vikram_chapter 1.pdf135.79 kBAdobe PDFView/Open
vikram_chapter 2.pdf163.96 kBAdobe PDFView/Open
vikram_chapter 3.pdf353.54 kBAdobe PDFView/Open
vikram_chapter 4.pdf454.89 kBAdobe PDFView/Open
vikram_chapter 5.pdf1.79 MBAdobe PDFView/Open
vikram_chapter 6.pdf64.22 kBAdobe PDFView/Open
vikram_intro.pdf154.18 kBAdobe PDFView/Open
vikram_reference.pdf94.15 kBAdobe PDFView/Open


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