Research and innovation are essential components of Smartesting's DNA and a vector of our success.
This is why Smartesting explores, alone or in partnership with other companies or research institutes, advanced technologies through research and innovation programs.
ONGOING RESEARCH AND INNOVATION PROJECTS
With their support
The SARCoS project, on the cybersecurity of connected systems, was the winner of the 2nd ISITE-BFC call for proposals in the Research / Industry collaboration category. This project focuses on the resilience of connected systems, such as intelligent transport systems, the Internet of Things and intelligent microsystems.
The ability of these systems to protect themselves from data breaches is a major issue for our societies, which increasingly rely on these intelligent systems in everyday life (for the smart city, air transport, the connected car or eHealth systems).
The ISITE-BFC SARCoS project brings a breakthrough innovation based on data falsification detection capabilities to strengthen the resistance of these systems to cybersecurity risks.
The ERDF "SARCoS" project, led by the companies Smartesting Solutions & Services (SME - Lead Partner) and Parkeon (ETI), aims to increase the impact of the SARCoS project on the territory by increasing industrial R&D. The objective is to develop a technology at the TRL 6/7 level, with a view to industrialization for market launch within 12 months after the end of the project.
The SARCoS project is supported by the ERDF programme.
MegaM@Rt2 aims to bring the model-driven engineering in order to help European industry to reduce development and maintenance costs as well as to reinforce productivity and quality for embedded systems conception, validation and verification.
Model-driven technologies promise significant productivity gains, which have been proven in different studies. Testing approach. MegaM@Rt2 strengthens European scientific and technical leadership in the development of complex systems.
Smartesting is leading the development of the MegaM@Rt2 Runtime Analysis Tool Set that aims to define new methods and tools for creating and managing models at runtime verification and testing, including automated runtime testing and monitoring as well as a model-based log collection and analysis infrastructure.
This runtime toolset integrates tools that further propose automated code generation, model execution as a part of a system, runtime verification and online testing
The MegaM@Rt2 project is supported by ECSEL Joint Undertaking within the framework of the European H2020 scheme.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 737494
The objective of the PHILAE project is to speed up software testing activities by performing trace analysis of various traces (usage traces, traces of previous test executions, etc.) and sorting using machine learning techniques, combining this analysis with model inference and automated test generation.
By presenting this key approach on three industrial case studies, with a tool chain developed in the project, we plan to change the paradigm for automated testing of web-based information systems by evolving Model-Based Testing approaches to a practice of Cognitive Test Automation.
The PHILAE project is supported by the French National Research Agency.