@inproceedings{fd8493eb675a40a6b1453a08d4aaf637,
title = "PET: Continuous performance evaluation tool",
abstract = "Performance measurements and simulations produce large amounts of data in a short period of time. Release cycles are getting shorter due to the DevOps movement and heavily rely on live data from production or test environments. In addition, performance simulations increasingly become accurate and close to exact predictions. Results from these simulations are reliable and can be compared with live data to detect deviations from expected behavior. In this work, we present a comprehensive tool that can process and analyze measurement as well as simulation data quickly utilizing big data technologies. Live measurement data and simulation results can be analyzed for detecting performance problems, deviations from expected behavior or to simply compare a performance model with real world applications.",
keywords = "Performance analysis, Performance evaluation",
author = "Johannes Kro{\ss} and Felix Willnecker and Thomas Zwickl and Helmut Krcmar",
note = "Publisher Copyright: {\textcopyright} 2016 ACM.; 2nd International Workshop on Quality-Aware DevOps, QUDOS 2016, co-located with the International Symposium on Software Testing and Analysis, ISSTA 2016 ; Conference date: 21-07-2016",
year = "2016",
month = jul,
day = "21",
doi = "10.1145/2945408.2945418",
language = "English",
isbn = "9781450344111",
series = "QUDOS 2016 - Proceedings of the 2nd International Workshop on Quality-Aware DevOps, co-located with ISSTA 2016",
publisher = "Association for Computing Machinery, Inc",
pages = "42--43",
editor = "Danilo Ardagna and Felix Willnecker and {van Hoorn}, Andre and Giuliano Casale",
booktitle = "QUDOS 2016 - Proceedings of the 2nd International Workshop on Quality-Aware DevOps, co-located with ISSTA 2016",
}