Machine learning to guide performance testing: An autonomous test framework
Satisfying performance requirements is of great importance for performance-critical software
systems. Performance analysis to provide an estimation of performance indices and …
systems. Performance analysis to provide an estimation of performance indices and …
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 …
SQLR: Short-term memory Q-learning for elastic provisioning
As a growing number of service and application providers choose cloud networks to deliver
their services on a software-as-a-service (SaaS) basis, cloud providers need to make their …
their services on a software-as-a-service (SaaS) basis, cloud providers need to make their …
Performance testing using a smart reinforcement learning-driven test agent
MH Moghadam, G Hamidi, M Borg… - 2021 IEEE Congress …, 2021 - ieeexplore.ieee.org
Performance testing with the aim of generating an efficient and effective workload to identify
performance issues is challenging. Many of the automated approaches mainly rely on …
performance issues is challenging. Many of the automated approaches mainly rely on …
Performance evaluation for the design of a hybrid cloud based distance synchronous and asynchronous learning architecture
The COVID-19 emergency suddenly obliged schools and universities around the world to
deliver on-line lectures and services. While the urgency of response resulted in a fast and …
deliver on-line lectures and services. While the urgency of response resulted in a fast and …
Machine learning-assisted performance assurance
M Helali Moghadam - 2020 - diva-portal.org
With the growing involvement of software systems in our life, assurance of performance, as
an important quality characteristic, rises to prominence for the success of software products …
an important quality characteristic, rises to prominence for the success of software products …
Cloud VM provisioning using analytical performance models
When an application deployed in the cloud faces changing workload, the services of the
application need scaling up or down in response. The services run on Virtual Machines (VM) …
application need scaling up or down in response. The services run on Virtual Machines (VM) …
Learning-Based self-adaptive assurance of timing properties in a real-time embedded system
Providing an adaptive runtime assurance technique to meet the performance requirements
of a real-time system without the need for a precise model could be a challenge. Adaptive …
of a real-time system without the need for a precise model could be a challenge. Adaptive …
[图书][B] Intelligence-Driven Software Performance Assurance
MH Moghadam - 2022 - search.proquest.com
Software performance assurance is of great importance for the success of software products,
which are nowadays involved in many parts of our life. Performance evaluation approaches …
which are nowadays involved in many parts of our life. Performance evaluation approaches …
Machine learning algorithms for provisioning cloud/edge applications
C Ayimba - 2022 - dspace.networks.imdea.org
Reinforcement Learning (RL), in which an agent is trained to make the most favourable
decisions in the long run, is an established technique in artificial intelligence. Its popularity …
decisions in the long run, is an established technique in artificial intelligence. Its popularity …