Resource Function Capture for Performance Aspects of Software Components and Sub-Systems
Performance Engineering, State of the Art and Current Trends
Early performance testing of distributed software applications
WOSP '04 Proceedings of the 4th international workshop on Software and performance
Model-Based Performance Prediction in Software Development: A Survey
IEEE Transactions on Software Engineering
Stability of Feature Selection Algorithms
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
WSC '05 Proceedings of the 37th conference on Winter simulation
Performance Evaluation and Prediction for Legacy Information Systems
ICSE '07 Proceedings of the 29th international conference on Software Engineering
The Palladio component model for model-driven performance prediction
Journal of Systems and Software
Life-Cycle Aware Modelling of Software Components
CBSE '08 Proceedings of the 11th International Symposium on Component-Based Software Engineering
Estimating service resource consumption from response time measurements
Proceedings of the Fourth International ICST Conference on Performance Evaluation Methodologies and Tools
Proceedings of the 7th international conference on Formal methods for performance evaluation
SFM'07 Proceedings of the 7th international conference on Formal methods for performance evaluation
Performance evaluation of component-based software systems: A survey
Performance Evaluation
The Performance Cockpit Approach: A Framework For Systematic Performance Evaluations
SEAA '10 Proceedings of the 2010 36th EUROMICRO Conference on Software Engineering and Advanced Applications
Statistical inference of software performance models for parametric performance completions
QoSA'10 Proceedings of the 6th international conference on Quality of Software Architectures: research into Practice - Reality and Gaps
Efficient experiment selection in automated software performance evaluations
EPEW'11 Proceedings of the 8th European conference on Computer Performance Engineering
Performance problem diagnostics by systematic experimentation
Proceedings of the 18th international doctoral symposium on Components and architecture
| Hi-index | 0.00 |
Software performance engineering for enterprise applications is becoming more and more challenging as the size and complexity of software landscapes increases. Systems are built on powerful middleware platforms, existing software components, and 3rd party services. The internal structure of such a software basis is often unknown especially if business and system boundaries are crossed. Existing model-driven performance engineering approaches realise a pure top down prediction approach. Software architects have to provide a complete model of their system in order to conduct performance analyses. Measurement-based approaches depend on the availability of the complete system under test. In this paper, we propose a concept for the combination of model-driven and measurement-based performance engineering. We integrate software performance curves with the Palladio Component Model (PCM) (an advanced model-based performance prediction approach) in order to enable the evaluation of enterprise applications which depend on a large software basis.