OW2 presents DECODER at OSXP


The OW2 open source community invites Open Source Experience Paris attendees to discover the H2020 DECODER platform in order to accelerate their software development, with quality and security. .

Paris, November 9, 2021 - The OW2 open source community booth #C16 is showcasing the DECODER platform, a new open source toolbox for DevSecOps teams at OSXP’21, 9-10 November, Paris Palais des Congrès. This platform is an outcome of the DECODER project that gathers seven members from four European countries, including one university (Universitat Politècnica de València), one research organization (CEA List), two industrial partners (Capgemini, Sysgo), two SMEs (Technikon, Tree Technology) and OW2 as non-profit organization. It is coordinated by Technikon, with CEA List as Technical Leader and involves OW2 as dissemination leader and use case provider.. 

Thanks to its methodology and its comprehensive toolset including the DECODER PKM (Persistent Knowledge Monitor), and specific modules designed for developers, testers and maintainers, the DECODER platform can automatically analyze and document IoT and cloud computing projects, providing a deeper understanding of software codes and their changes.

The tools developed in DECODER have the potential to help developers manage the complexity of source code, as well as the complexity of artefacts such as requirements, diagrams, designs, documentation and test results,” says Armand Puccetti, CEA List Research Engineer, before adding: “Leveraging the information stored in this informal or semi-formal documents is one key goal of the DECODER project.”  

DECODER provides a comprehensive open source framework for the DevSecOps teams, leveraging technologies such as NLP (natural language processing), and state-of-the-art Artificial Intelligence and Machine Learning techniques. Its main objective is to offer more efficiency along the application lifecycle, through code understanding, readability, reusability, compliance and security. 

The DECODER project received funding from the European Union’s H2020 research and innovation programme under the grant agreement 824231.
For more information about DECODER, please visit: https://www.decoder-project.eu

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