%0 Conference Proceedings
%T Towards an Efficient Performance Testing Through Dynamic Workload Adaptation
%+ University College Dublin [Dublin] (UCD)
%A Huerta-Guevara, Osvaldo
%A Ayala-Rivera, Vanessa
%A Murphy, Liam
%A Portillo-Dominguez, A., Omar
%Z Part 5: Security and Performance Testing
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 31th IFIP International Conference on Testing Software and Systems (ICTSS)
%C Paris, France
%Y Christophe Gaston
%Y Nikolai Kosmatov
%Y Pascale Le Gall
%I Springer International Publishing
%3 Testing Software and Systems
%V LNCS-11812
%P 215-233
%8 2019-10-15
%D 2019
%R 10.1007/978-3-030-31280-0_13
%K Software engineering
%K Performance testing
%K Performance bug
%K Workload
%K Web systems and applications
%Z Computer Science [cs]
%Z Computer Science [cs]/Networking and Internet Architecture [cs.NI]Conference papers
%X 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.
%G English
%Z TC 6
%Z WG 6.1
%2 https://inria.hal.science/hal-02526354/document
%2 https://inria.hal.science/hal-02526354/file/482770_1_En_13_Chapter.pdf
%L hal-02526354
%U https://inria.hal.science/hal-02526354
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC6
%~ IFIP-WG6-1
%~ IFIP-ICTSS
%~ IFIP-LNCS-11812