|
|
Unified Reporting for Performance Testing
Kůrová, Martina ; Vojnar, Tomáš (oponent) ; Šimková, Hana (vedoucí práce)
Modern advances in software technologies for today’s application development have allowed for developers to concentrate less on issues, such as performance and resource management, and instead spend more time on developing the application functionality such that the time to market is reduced. Consequently, performance analysis and optimization become more difficult and create a need for advanced performance tools that should provide a clear report of the application in terms of its performance and allow a fast interpretation of these results. This work investigates typical performance problems of today’s applications and offers approaches on how to automatically detect them. Using statistical methods like regression and correlation analysis, investigation of measured values is performed in order to detect performance deviations that possibly occurred in an application under test. The proposed approach has been implemented as a new Reporter component into an open source performance testing tool PerfCake, developed by QE engineers from Red Hat Czech s.r.o. The developed component is capable of detecting and reporting possible issues and their probability. A unified report from all pre-specified measurements is created in such a way that all detected performance issues are immediately visible. The aim is to improve an end-user experience and usability when reading the report from performance testing.
|
|
|
Anomalies detection in time-series data for the internal diagnostics of autonomous mobile robot
Věchet, Stanislav ; Krejsa, Jiří ; Chen, K.S.
Autonomous mobile robots are complex mechatronic machines which consists of numerous hardware and software modules working asynchronously to achieve desired behaviour. As there are many frameworks which helps to overcome the flat learning curve the problem of internal diagnostics arises. While users and developers are able to focus only on solving the high level problem algorithm or methods the internal states of the system is hidden. This helps to separate the users from solving hardware issues, which is helping until everything works properly. We present an algorithm which is able to detect anomalies in time based behaviour of the robot to improve the users confidence that the internal robot framework works correctly and as desired. The algorithm is based on probabilistic patterns detection based on Bayesian probabilistic theory.
|
|
|
Unified Reporting for Performance Testing
Kůrová, Martina ; Vojnar, Tomáš (oponent) ; Šimková, Hana (vedoucí práce)
Modern advances in software technologies for today’s application development have allowed for developers to concentrate less on issues, such as performance and resource management, and instead spend more time on developing the application functionality such that the time to market is reduced. Consequently, performance analysis and optimization become more difficult and create a need for advanced performance tools that should provide a clear report of the application in terms of its performance and allow a fast interpretation of these results. This work investigates typical performance problems of today’s applications and offers approaches on how to automatically detect them. Using statistical methods like regression and correlation analysis, investigation of measured values is performed in order to detect performance deviations that possibly occurred in an application under test. The proposed approach has been implemented as a new Reporter component into an open source performance testing tool PerfCake, developed by QE engineers from Red Hat Czech s.r.o. The developed component is capable of detecting and reporting possible issues and their probability. A unified report from all pre-specified measurements is created in such a way that all detected performance issues are immediately visible. The aim is to improve an end-user experience and usability when reading the report from performance testing.
|
host ::
RSS.