@inproceedings{911c76a05ee44712a42a2cdfe70a00b5,
title = "In-Test adaptation of workload in enterprise application performance testing",
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.",
keywords = "Analysis, Engineering, Performance, Testing",
author = "Maciej Kaczmarski and Philip Perry and John Murphy and Portillo-Dominguez, \{A. Omar\}",
note = "Publisher Copyright: {\textcopyright} 2017 ACM.; 8th ACM/SPEC International Conference on Performance Engineering, ICPE 2017 ; Conference date: 22-04-2017 Through 26-04-2017",
year = "2017",
month = apr,
day = "18",
doi = "10.1145/3053600.3053614",
language = "English",
series = "ICPE 2017 - Companion of the 2017 ACM/SPEC International Conference on Performance Engineering",
publisher = "Association for Computing Machinery (ACM)",
pages = "69--72",
booktitle = "ICPE 2017 - Companion of the 2017 ACM/SPEC International Conference on Performance Engineering",
address = "United States",
}