A Case Study in Web Application Performance Measurement

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dc.contributor.authorGoyal, Nitin
dc.contributor.supervisorHoffman, Daniel
dc.date.accessioned2015-12-15T20:18:17Z
dc.date.available2015-12-15T20:18:17Z
dc.date.copyright2015en_US
dc.date.issued2015-12-15
dc.degree.departmentDepartment of Computer Science
dc.degree.levelMaster of Science M.Sc.en_US
dc.description.abstractThe Computational Quiz Generation (CQG) system is a web application that provides online programming quizzes. CQG has been used in CSC 111, CSC 116, CSC 361, SEng 265 and SEng 360. In the future we want to use CGQ in larger sections but due to the unavailability of performance metrics on CQG, it would be risky. We want to get quantitative performance data. We are interested in identifying maximum number of users supported stably by CQG, quiz start up time and if Java questions are expensive. Hence performance testing was conducted on CQG using Apache JMeter. Several tests were conducted to collect quantitative performance data relating to speed, stability and scalability. This project is a deployment of the test infrastructure on CGQ that would benefit the stakeholders in CQG to better determine and understand problems related to the maximum number of supported users, start up delays, expensive questions, etc. Experimental results have shown that the quiz start up time is high and depends on the size of the question library. It was also found that Java questions are much more expensive to use than C, C++ and Python. Performance testing has also uncovered the modules in CGQ that requiring optimization.en_US
dc.description.scholarlevelGraduateen_US
dc.identifier.urihttp://hdl.handle.net/1828/6925
dc.language.isoenen_US
dc.rightsAvailable to the World Wide Weben_US
dc.subjectJMeteren_US
dc.subjectPerformance Measurementen_US
dc.subjectCQGen_US
dc.titleA Case Study in Web Application Performance Measurementen_US
dc.typeprojecten_US

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