Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/229545
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DC FieldValueLanguage
dc.coverage.spatialCloud Computing
dc.date.accessioned2019-02-13T12:08:46Z-
dc.date.available2019-02-13T12:08:46Z-
dc.identifier.urihttp://hdl.handle.net/10603/229545-
dc.description.abstractCloud Computing refers to a new IT paradigm that has the ability to provide shared pool of conand#64257;gurable computing resources from any computing devices such as laptop, tablet, mobile etc. with minimal management effort or support from service provider. Cloud computing paradigm helps software companies to save huge amount of and#64257;nancial costs by relieving them from the tasks of procurement and maintenance. This provides an opportunity to software companies to focus on innovative practices of problem speciand#64257;c solutions. Software Testing is the most vital aspect of software development that should be performed judiciously to authenticate that the developed software meets approved quality principles. Ithas been observed and experienced by software industry that expenditure for testing the software is almost 30% of the total cost of the software development. Additionally, application is said to be robust if it has been tested on multiple operating systems and browsers of different versions. This ultimately raises the need of in-house testing labs that have the ability to cater required intricacies and diversities. But these labs often remain inoperative for a long period of time and have been proved as a massive drain on assets and computational resources. Therefore, software testing can be safely moved to the cloud as it offers high-quality testing at reduced cost and time and relieves the software companies from the burden of owning, reserving and maintaining private test labs. Thus, there is a need for offering a framework for testing as a service over cloud and is the motivation of this research work. To achieve the set objectives of addressing the challenges of creating cloud-based testing service, a comprehensive literature review has been done. Prevalent approaches of cloud-based testing models have been studied, analyzed and compared to identify inherent limitations of the existing work.
dc.format.extentxiv, 147p.
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleFramework for Testing As a Service over Cloud
dc.title.alternative
dc.creator.researcherPriyanka
dc.subject.keywordCloud Computing
dc.subject.keywordSoftware Testing
dc.description.note
dc.contributor.guideChana, Inderveer and Rana, Ajay
dc.publisher.placePatiala
dc.publisher.universityThapar Institute of Engineering and Technology
dc.publisher.institutionDepartment of Computer Science and Engineering
dc.date.registered
dc.date.completed2016
dc.date.awarded
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science and Engineering

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file11(appendix).pdf132.07 kBAdobe PDFView/Open
file1(title).pdf53.12 kBAdobe PDFView/Open
file2(certificate).pdf879.4 kBAdobe PDFView/Open
file3(preliminary pages).pdf998.82 kBAdobe PDFView/Open
file4(chapter 1).pdf441.16 kBAdobe PDFView/Open
file5(chapter 2).pdf201.77 kBAdobe PDFView/Open
file6(chapter 3).pdf769.31 kBAdobe PDFView/Open
file7(chapter 4).pdf1.13 MBAdobe PDFView/Open
file8(chapter 5).pdf916.32 kBAdobe PDFView/Open
file9(chapter 6).pdf93.59 kBAdobe PDFView/Open


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