Abstract
To simulate the concurrent users' workload, this paper proposes a performance testing approach and novel average performance measuring (APM) metric for assessing the web services performance. It extracts the response time, throughput, and response code metrics information to build an efficient performance-related issues identification approach that detects performance faults earlier with less effort or expense. Multiple open-source and commercial performance testing tools are used in the information technology (IT) industry to analyze the performance of web services. Practitioners rely only on either response time or throughput metric to evaluate the performance of web services, which is not sufficient for a comprehensible performance testing of web services. Our proposed performance testing approach is more convenient and straightforward to perform performance testing of web services. Moreover, experiment results show that the proposed APM metric is efficient in the evaluation of performance testing approaches.
Original language | English |
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Title of host publication | Proceedings - 22nd International Multitopic Conference, INMIC'19 |
Editors | Muhammad Asim |
Place of Publication | Piscataway NJ USA |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 170-178 |
Number of pages | 8 |
ISBN (Electronic) | 9781728140001, 9781728140018 |
ISBN (Print) | 9781728140025 |
DOIs | |
Publication status | Published - 2019 |
Event | IEEE International Multioptic Conference 2019 - Islamabad, Pakistan Duration: 29 Nov 2019 → 30 Nov 2019 Conference number: 22nd https://ieeexplore.ieee.org/xpl/conhome/9006915/proceeding (Proceedings) |
Conference
Conference | IEEE International Multioptic Conference 2019 |
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Abbreviated title | INMIC 2019 |
Country/Territory | Pakistan |
City | Islamabad |
Period | 29/11/19 → 30/11/19 |
Internet address |
Keywords
- Apm metric
- Faults identification
- Load testing
- Performance testing
- Web services