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, Osvaldo; Ayala-Rivera, Vanessa; Murphy, 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 engineering; Performance testing; Performance bug; Workload; Web 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 | ISSN: | 0302-9743 | This item is made available under a Creative Commons License: | https://creativecommons.org/licenses/by-nc-nd/3.0/ie/ |
Appears in Collections: | Computer Science Research Collection |
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