An Empirical Assessment on the Techniques Used in Load Testing

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dc.contributor.advisorJiang, Zhen Ming
dc.creatorGao, Ruoyu
dc.date.accessioned2017-07-27T12:38:26Z
dc.date.available2017-07-27T12:38:26Z
dc.date.copyright2016-11-09
dc.date.issued2017-07-27
dc.date.updated2017-07-27T12:38:26Z
dc.degree.disciplineComputer Engineering
dc.degree.levelMaster's
dc.degree.nameMASc - Master of Applied Science
dc.description.abstractThere are two main problems associated with load testing research: (1) the testing environment might not be realistic and (2) lack of empirical research. To address the first problem, we systematically assess the performance behavior of the system with various realistic environment changes. Results show that environment changes can have a clear performance impact on the system. Different scenarios react differently to the changes in the computing resources. When predicting the performance of the system under new environment changes, our ensemble-based models significantly out-perform the baseline models. To address the second problem, we have empirically evaluated 23 test analysis techniques. We have found all the evaluated techniques can effectively build performance models using data from both buggy or non-buggy tests and flag the performance deviations. It is more cost-effective to train models using two recent previous tests collected under longer sampling intervals.
dc.identifier.urihttp://hdl.handle.net/10315/33445
dc.language.isoen
dc.rightsAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
dc.subjectComputer engineering
dc.subject.keywordsLoad testing
dc.subject.keywordsPerformance modeling
dc.titleAn Empirical Assessment on the Techniques Used in Load Testing
dc.typeElectronic Thesis or Dissertation

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