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- Project
- 18022 IVVES
- Description
Automated performance and load testing of a system using reinforcement learning.
- Contact
- Mahshid Helali Moghadam and Mehrdad Saadatmand, RISE Research Institutes of Sweden
- Mahshid.helali.moghadam@ri.se
- Technical features
Input(s):
- The URL of Web-based SUT + the set of jmx files recorded by JMeter representing initial load test plans for each functional use case of SUT
Main feature(s):
- Automated ML-assisted Load Testing
Output(s):
- Load test report
- Integration constraints
Can be provided as SaaS.
- Targeted customer(s)
- Software testers
- Product managers
- Software engineers
- Conditions for reuse
Licensing and permission required.
- Confidentiality
- Public
- Publication date
- 29-11-2022
- Involved partners
- RISE - Research institutes of Sweden (SWE)