Software system testing and quality assurance
Software system testing and quality assurance
System identification: theory for the user
System identification: theory for the user
Load testing software using deterministic state testing
ISSTA '93 Proceedings of the 1993 ACM SIGSOFT international symposium on Software testing and analysis
Applied system identification
Towards a structural load testing tool
ISSTA '96 Proceedings of the 1996 ACM SIGSOFT international symposium on Software testing and analysis
httperf—a tool for measuring web server performance
ACM SIGMETRICS Performance Evaluation Review
Testing object-oriented systems: models, patterns, and tools
Testing object-oriented systems: models, patterns, and tools
Automated test case generation for the stress testing of multimedia systems
Software—Practice & Experience
Stress testing real-time systems with genetic algorithms
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Improving network applications security: a new heuristic to generate stress testing data
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Automatic Stress and Load Testing for Embedded Systems
COMPSAC '06 Proceedings of the 30th Annual International Computer Software and Applications Conference - Volume 02
Towards runtime optimization of software quality based on feedback control theory
Proceedings of the First Asia-Pacific Symposium on Internetware
Automatic generation of load tests
ASE '11 Proceedings of the 2011 26th IEEE/ACM International Conference on Automated Software Engineering
Compositional load test generation for software pipelines
Proceedings of the 2012 International Symposium on Software Testing and Analysis
Journal of Systems and Software
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Stress and load testing are of special interest to many segments of the software industry. However, existing approaches present limitations with respect to automation and applicability. While some approaches present an automated solution, they lack in terms of applicability. A fully automated approach with high applicability is proposed here. The approach is based on the use of a PID controller to automatically drive the inputs and to achieve a pre-specified level of stress/load for resources of interest. The approach also allows for automatic identification of inputs impacting the resources. An experiment along with multiple simulation runs are presented as an indication of the applicability and accuracy of the proposed approach.