Please use this identifier to cite or link to this item: http://ir.lib.seu.ac.lk/handle/123456789/5806
Full metadata record
DC FieldValueLanguage
dc.contributor.authorShafana, A.R.F.-
dc.contributor.authorMusfira, A.F.-
dc.contributor.authorNaja, M.M.F.-
dc.date.accessioned2021-10-05T06:44:01Z-
dc.date.available2021-10-05T06:44:01Z-
dc.date.issued2021-07-27-
dc.identifier.citation1st International Conference- 2021 on Science and Technology,27th July 2021, SEUSL, University Park, Oluvil, #32360, Sri Lanka.pp.231-237en_US
dc.identifier.isbn9786245736171-
dc.identifier.urihttp://ir.lib.seu.ac.lk/handle/123456789/5806-
dc.description.abstractThe number of users accessing an ecommerce website is generally high. The performance of websites to cater to the increased number of concurrent users is inevitable to manage the growing online business needs. The architecture of the company’s website should be robust enough to manage the expected traffic on heavy load. The inability to support the growing customer needs would return frustration that leads to heavy business loss. Therefore, it is mandate for e-commerce websites to perform load testing to assess the robustness of their architecture to support scalability. This study features the assessment of e-commerce websites for its performance based on throughput, availability and response time. The study utilizes Apache JMeter to perform load testing on selected five ecommerce websites in Thailand by emulating customer behaviors at heavy load levels. The paper proposes a methodology that could help future testing practitioners and researchers to perform load testing efficiently.en_US
dc.language.isoen_USen_US
dc.publisherFaculty of Technology, SEUSL.en_US
dc.relation.ispartofseries1st International Conference ,2021;-
dc.subjectLoad Testing;en_US
dc.subjectQuality of Service;en_US
dc.subjectECommerce;en_US
dc.subjectApache JMeter;en_US
dc.subjectPerformance Metrics.en_US
dc.titleAssessing the E-commerce websites for performance using automated testing toolsen_US
dc.typeArticleen_US
Appears in Collections:1st International Conference on Science and Technology

Files in This Item:
File Description SizeFormat 
33 P_ICST2021 Final v11_win_Done_sec_.pdf599.33 kBAdobe PDFThumbnail
View/Open
33 P_ICST2021 Final v11_win_Done_sec_.pdf599.33 kBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.