Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Quin, Federico"'
In A/B testing two variants of a piece of software are compared in the field from an end user's point of view, enabling data-driven decision making. While widely used in practice, no comprehensive study has been conducted on the state-of-the-art in A
Externí odkaz:
http://arxiv.org/abs/2308.04929
Autor:
Quin, Federico, Weyns, Danny
A/B testing is a common approach used in industry to facilitate innovation through the introduction of new features or the modification of existing software. Traditionally, A/B tests are conducted sequentially, with each experiment targeting the enti
Externí odkaz:
http://arxiv.org/abs/2306.01407
Modern software systems often have to cope with uncertain operation conditions, such as changing workloads or fluctuating interference in a wireless network. To ensure that these systems meet their goals these uncertainties have to be mitigated. One
Externí odkaz:
http://arxiv.org/abs/2306.01404
Autor:
Weyns, Danny, Gerostathopoulos, Ilias, Buhnova, Barbora, Cardozo, Nicolas, Cioroaica, Emilia, Dusparic, Ivana, Grunske, Lars, Jamshidi, Pooyan, Julien, Christine, Michael, Judith, Moreno, Gabriel, Nejati, Shiva, Pelliccione, Patrizio, Quin, Federico, Rodrigues, Genaina, Schmerl, Bradley, Vieira, Marco, Vogel, Thomas, Wohlrab, Rebekka
Artifacts support evaluating new research results and help comparing them with the state of the art in a field of interest. Over the past years, several artifacts have been introduced to support research in the field of self-adaptive systems. While t
Externí odkaz:
http://arxiv.org/abs/2206.12492
Many software systems today face uncertain operating conditions, such as sudden changes in the availability of resources or unexpected user behavior. Without proper mitigation these uncertainties can jeopardize the system goals. Self-adaptation is a
Externí odkaz:
http://arxiv.org/abs/2204.06254
Autor:
Quin, Federico, Weyns, Danny
Micro-services are a common architectural approach to software development today. An indispensable tool for evolving micro-service systems is A/B testing. In A/B testing, two variants, A and B, are applied in an experimental setting. By measuring the
Externí odkaz:
http://arxiv.org/abs/2204.01343
Publikováno v:
In The Journal of Systems & Software May 2024 211
Recently, we have been witnessing an increasing use of machine learning methods in self-adaptive systems. Machine learning methods offer a variety of use cases for supporting self-adaptation, e.g., to keep runtime models up to date, reduce large adap
Externí odkaz:
http://arxiv.org/abs/2103.10194
With the increasing ubiquity and scale of self-adaptive systems, there is a growing need to decentralize the functionality that realizes self-adaptation. Our focus is on architecture-based self-adaptive systems where one or more functions for monitor
Externí odkaz:
http://arxiv.org/abs/2103.09074
Recently, we witness a rapid increase in the use of machine learning in self-adaptive systems. Machine learning has been used for a variety of reasons, ranging from learning a model of the environment of a system during operation to filtering large s
Externí odkaz:
http://arxiv.org/abs/2103.04112