Microservices integrated performance and reliability testing
Continuous quality assurance for extra-functional properties of modern software systems is
today a big challenge as their complexity is constantly increasing to satisfy market demands …
today a big challenge as their complexity is constantly increasing to satisfy market demands …
Automatic exploratory performance testing using a discriminator neural network
We present a novel exploratory performance testing algorithm that uses supervised learning
to optimize the test suite generation process. The goal of the proposed approach is to …
to optimize the test suite generation process. The goal of the proposed approach is to …
The integration of machine learning into automated test generation: A systematic mapping study
Abstract Machine learning (ML) may enable effective automated test generation. We
characterize emerging research, examining testing practices, researcher goals, ML …
characterize emerging research, examining testing practices, researcher goals, ML …
Using deep reinforcement learning for exploratory performance testing of software systems with multi-dimensional input spaces
During exploratory performance testing, software testers evaluate the performance of a
software system with different input combinations in order to identify combinations that cause …
software system with different input combinations in order to identify combinations that cause …
An autonomous performance testing framework using self-adaptive fuzzy reinforcement learning
Test automation brings the potential to reduce costs and human effort, but several aspects of
software testing remain challenging to automate. One such example is automated …
software testing remain challenging to automate. One such example is automated …
Automated performance testing based on active deep learning
A Sedaghatbaf, MH Moghadam… - 2021 IEEE/ACM …, 2021 - ieeexplore.ieee.org
Generating tests that can reveal performance issues in large and complex software systems
within a reasonable amount of time is a challenging task. On one hand, there are numerous …
within a reasonable amount of time is a challenging task. On one hand, there are numerous …
GOOSE: Goal-Conditioned Reinforcement Learning for Safety-Critical Scenario Generation
Scenario-based testing is considered state-of-the-art for verifying and validating Advanced
Driver Assistance Systems (ADASs) and Automated Driving Systems (ADSs). However, the …
Driver Assistance Systems (ADASs) and Automated Driving Systems (ADSs). However, the …
Poster: Performance testing driven by reinforcement learning
Performance testing remains a challenge, particularly for complex systems. Different
application-, platform-and workload-based factors can influence the performance of software …
application-, platform-and workload-based factors can influence the performance of software …
Early Stopping of Non-productive Performance Testing Experiments Using Measurement Mutations
Modern software projects often incorporate some form of performance testing into their
development cycle, intending to detect changes in performance between commits or …
development cycle, intending to detect changes in performance between commits or …
Inferring performance from code: a review
Performance is an important non-functional property of software that has a direct impact on
the end-user's perception of quality of service since it is related to metrics such as response …
the end-user's perception of quality of service since it is related to metrics such as response …