DYNAMOJM: A JMeter Tool for Performance Testing Using Dynamic Workload Adaptation

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Title: DYNAMOJM: A JMeter Tool for Performance Testing Using Dynamic Workload Adaptation
Authors: Huerta-Guevara, OsvaldoAyala-Rivera, VanessaMurphy, Liam, B.E.Portillo Dominguez, Andres Omar
Permanent link: http://hdl.handle.net/10197/11288
Date: 8-Oct-2019
Online since: 2020-02-26T14:28:20Z
Abstract: Performance testing is a critical task to assure optimal experience for users, especially when there are high loads of concurrent users. JMeter is one of the most widely used tools for load and stress testing. With JMeter, it is possible to test the performance of static and dynamic resources on the web. This paper presents DYNAMOJM, a novel tool built on top of JMeter that enables testers to create a dynamic workload for performance testing. This tool implements the DYNAMO approach, which has proven useful to find performance issues more efficiently than static testing techniques.
Funding Details: European Commission - European Regional Development Fund
Science Foundation Ireland
Type of material: Conference Publication
Publisher: Springer
Series/Report no.: Lecture Notes in Computer Science (LCNS, volume 11812)
Copyright (published version): 2019 International Federation for Information Processing
Keywords: Software engineeringPerformance testingPerformance bugWorkloadWeb systems and applications
DOI: 10.1007/978-3-030-31280-0_14
Language: en
Status of Item: Peer reviewed
Conference Details: The 31st International Federation for Information Processing (IFIP) International Conference on Testing Software and Systems (ICTSS), Paris, France, 15-17 October 2019
ISBN: 9783030312794
Appears in Collections:Computer Science Research Collection

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