DynamicSpotter is an approach and tooling environment for measurement-based, automatic detection of soft-ware performance problems by conducting systematic performance tests. The goal of this seminar paper is to provide an overview of the DynamicSpotter approach, including the underlying concept of performance prob-lem hierarchies and detection heuristics, which are used for the systematic performance testing. In addition to studying and summarizing the research literature, it is a mandatory part of this seminar to gather and share hands-on experience with the available tooling infrastructure. For example, the approach could be applied to a distributed enterprise application which is subject to performance problem injection. The provided re...
Robust distributed systems commonly employ high-level recov-ery mechanisms enabling the system to re...
The use of performance measurement (PM) systems has evolved over the years for academic researchers ...
Software performance anomaly detection is a major challenge in complex industrial cyber-physical sys...
In this book, we introduce an automatic, experiment-based approach for performance problem diagnosti...
Particularly for business-critical enterprise applications (e.g., based on Java EE technology), perf...
<p>Large production systems are susceptible to chronic performance problems where the system still w...
This thesis presents a new measurement methodology especially designed to improve the performance of...
This paper discusses a methodology for diagnosing performance problems for parallel and distributed ...
[[abstract]]It is important to keep an information system work properly with efficient performance i...
This paper presents a new technique that enhances the process and the methodology used in a performa...
For industrial systems performance, it is desired to keep the IT infrastructure competitive through ...
This work describes ongoing work for measuring the performance of an application running on a machin...
Performance testing in highly distributed environments is very challenging. Specifically, the identi...
Background: With the increase in automating the performance testing strategies, many efforts have be...
Preprint submitted to Elsevier. The goal of performance maintenance is to improve the performance of...
Robust distributed systems commonly employ high-level recov-ery mechanisms enabling the system to re...
The use of performance measurement (PM) systems has evolved over the years for academic researchers ...
Software performance anomaly detection is a major challenge in complex industrial cyber-physical sys...
In this book, we introduce an automatic, experiment-based approach for performance problem diagnosti...
Particularly for business-critical enterprise applications (e.g., based on Java EE technology), perf...
<p>Large production systems are susceptible to chronic performance problems where the system still w...
This thesis presents a new measurement methodology especially designed to improve the performance of...
This paper discusses a methodology for diagnosing performance problems for parallel and distributed ...
[[abstract]]It is important to keep an information system work properly with efficient performance i...
This paper presents a new technique that enhances the process and the methodology used in a performa...
For industrial systems performance, it is desired to keep the IT infrastructure competitive through ...
This work describes ongoing work for measuring the performance of an application running on a machin...
Performance testing in highly distributed environments is very challenging. Specifically, the identi...
Background: With the increase in automating the performance testing strategies, many efforts have be...
Preprint submitted to Elsevier. The goal of performance maintenance is to improve the performance of...
Robust distributed systems commonly employ high-level recov-ery mechanisms enabling the system to re...
The use of performance measurement (PM) systems has evolved over the years for academic researchers ...
Software performance anomaly detection is a major challenge in complex industrial cyber-physical sys...