Towards an Efficient Performance Testing Through Dynamic Workload Adaptation

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Title: Towards an Efficient Performance Testing Through Dynamic Workload Adaptation
Authors: Portillo Dominguez, Andres OmarHuerta-Guevara, OsvaldoAyala-Rivera, VanessaMurphy, Liam, B.E.
Permanent link: http://hdl.handle.net/10197/11289
Date: 8-Oct-2019
Online since: 2020-02-27T10:14:40Z
Abstract: Performance testing is a critical task to ensure an acceptable user experience with software systems, especially when there are high numbers of concurrent users. Selecting an appropriate test workload is a challenging and time-consuming process that relies heavily on the testers’ expertise. Not only are workloads application-dependent, but also it is usually unclear how large a workload must be to expose any performance issues that exist in an application. Previous research has proposed to dynamically adapt the test workloads in real-time based on the application behavior. By reducing the need for the trial-and-error test cycles required when using static workloads, dynamic workload adaptation can reduce the effort and expertise needed to carry out performance testing. However, such approaches usually require testers to properly configure several parameters in order to be effective in identifying workload-dependent performance bugs, which may hinder their usability among practitioners. To address this issue, this paper examines the different criteria needed to conduct performance testing efficiently using dynamic workload adaptation. We present the results of comprehensively evaluating one such approach, providing insights into how to tune it properly in order to obtain better outcomes based on different scenarios. We also study the effects of varying its configuration and how this can affect the results obtained.
Funding Details: European Commission - European Regional Development Fund
Science Foundation Ireland
Type of material: Conference Publication
Publisher: Springer
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_13
Other versions: http://ictss2019.centralesupelec.fr/
Language: en
Status of Item: Peer reviewed
Conference Details: The 31st IFIP International Conference on Testing Software and Systems (IFIP-ICTSS 2019), Paris, France, 15-17 2019
Appears in Collections:Computer Science Research Collection

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