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.
With the European Regional Development Fund (ERDF)
DeepQA - Automatic test learning from execution traces
The DeepQA project aims to automate the creation and maintenance of software tests by learning from system execution traces. An AI-powered SaaS testing platform will fully automate the regression testing process in DevOps, i.e. in the context of continuously developed and deployed applications.
Faced with the challenge of accelerating time-to-market, organizations are adopting new software development practices whose keyword is "continuous". Continuous Integration/Continuous Delivery (CI/CD) chains and DevOps models are already a reality for many software factories and are on the horizon for others.
In this context, test automation must not only become the rule, but its production and maintenance must be carried out as quickly as developers update their code. This is the challenge that the DeepQA project is tackling, which aims at nothing less than automating test automation.
This project was the winner of the Innovation contest organized by the French government to support innovative projects with high potential developed by French startups and SMEs.
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.
The MollyMawk project aims to validate the relevance and market potential of the Business Process Assurance (BPA) concept and the "SmartBPA" solution prototyped by Smartesting.
The Business Process Assurance concept complements the traditional Quality Assurance (QA) / Software Testing approach. The latter is essentially driven by the IT departments of organizations and focuses on the quality and reliability of an application or a group of applications. SmartBPA is based on Business Process Models (BPM) and allows Business Analysts to conduct business tests and ensure that business processes as a whole are running without incidents or interruptions.
The BPA approach implemented by SmartBPA is more and more essential in large organizations as agile development models are deployed and tend to split the development teams working in parallel on the same business process: in these conditions, verifying the integrity of the whole process is even more crucial.
The BPA approach is intended to be deployed within agile@scale frameworks such as SAFe, LeSS, etc., which aim precisely at organizing the synchronization of developments and releases.
The MollyMawk project is supported by the European H2020 SME program.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 837623
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