Abstract
Performance testing is used to assess if an enterprise application can fulfill its expected Service Level Agreements. How- ever, since some performance issues depend on the input workloads, it is common to use time-consuming and complex iterative test methods, which heavily rely on human expertise. This paper presents an automated approach to dynamically adapt the workload so that issues (e.g. bottle- necks) can be identified more quickly as well as with less effort and expertise. We present promising results from an initial validation prototype indicating an 18-fold decrease in the test time without compromising the accuracy of the test results, while only introducing a marginal overhead in the system.
Original language | English |
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Title of host publication | ICPE 2017 - Companion of the 2017 ACM/SPEC International Conference on Performance Engineering |
Publisher | Association for Computing Machinery, Inc |
Pages | 69-72 |
Number of pages | 4 |
ISBN (Electronic) | 9781450348997 |
DOIs | |
Publication status | Published (in print/issue) - 18 Apr 2017 |
Event | 8th ACM/SPEC International Conference on Performance Engineering, ICPE 2017 - L'Aquila, Italy Duration: 22 Apr 2017 → 26 Apr 2017 |
Conference
Conference | 8th ACM/SPEC International Conference on Performance Engineering, ICPE 2017 |
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Country/Territory | Italy |
City | L'Aquila |
Period | 22/04/17 → 26/04/17 |
Keywords
- Analysis
- Engineering
- Performance
- Testing