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Reinforcement Learning-Driven Continuous and Crashless Load Test Architecture

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dc.contributor.authorBuyuktanir, Tolga
dc.contributor.authorErbay, Batiray
dc.contributor.authorAltun, Mert
dc.date.accessioned2026-06-27T15:00:13Z
dc.date.issued2022
dc.description.abstractRealistic load testing of software systems and continuous testing of the systems is an industry requirement. Within the scope of this study, a software architecture was presented, and prototype implementation was implemented for load testing of live systems with realistic loads continuously and without crashing the system. Experiments of the crashless load test module of the prototype were implemented, and successful results were obtained from experiments.en
dc.description.urihttps://doi.org/10.1109/siu55565.2022.9864834
dc.identifier.doi10.1109/siu55565.2022.9864834
dc.identifier.isbn978-1-6654-5092-8
dc.identifier.issn2165-0608
dc.identifier.urihttps://hdl.handle.net/20.500.14981/67008
dc.identifier.wos001307163400173
dc.language.isotur
dc.publisherIEEE
dc.relation.conference30th IEEE Signal Processing and Communications Applications Conference (SIU)
dc.relation.ispartof2022 30TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE, SIU
dc.subjectreinforcement learning
dc.subjectload test
dc.subjectcrashless load test
dc.subjectcontinuous load test
dc.subjectGENERATION
dc.subjectComputer Science
dc.subjectEngineering
dc.subjectTelecommunications
dc.titleReinforcement Learning-Driven Continuous and Crashless Load Test Architecture
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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