Blog

Paris-Saclay Technical Meeting

Date: October 20-21, 2020
Meeting: DECODER Technical Meeting
Places: CEA List and online

Participants in the project are welcome to register through this private wiki event page to discover the meeting agenda and post WP presentations.
For project members who can't attend the CEA List facility in Palaiseau, a remote connection is provided.

Come back soon for more photos and demos.

RCIS 2020

Date: September 22-25, 2020

The 14th International Conference on Research Challenges in Information Science is turning to a virtual-only event, due to the Covid-19 outbreak. It aims to bring together scientists, researchers, engineers and practitioners from a wide range of information science fields. And it provides multiple opportunities for knowledge sharing and dissemination during four days. 

This year, the RCIS 2020 organizing committee fostered submissions aligned with Information Science in the Days of Artificial Intelligence.

In this context, the DECODER project participates with a new horizontal poster, designed for screen displays, along with an unprecedented explainer video.
Stay tuned! 

DevOps Market to reach $15 billion by 2026

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The global DevOps market size is projected to reach $14,969.6 million by 2026, a compound annual growth rate of 19.1%, according to a Fortune Business Insights report. The report highlighted the significance of this increase, noting nearly +404% in eight years, as that market was only worth $3,708.1 million in 2018. Containerization, PaaS (Platform as a Service) and hybrid cloud are three major enablers in DevOps growth.

For more information:

Agile Testing + DevOps = DevTestOps

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"DevOps is now really DevTestOps and for teams to be truly agile, test management is the vital link in the success of DevOps. You require TestOps to match the pace of DevOps and testing early and often — breaking the silos."

In fact, the World Quality Report 2019-2020 led by Capgemini shows that there is increased investment in the QA and Test function reported by 90% of US and 69% percent of Canadian survey participants in the past four years.

Read more

The Global Embedded Systems Market Expected to Grow +5% CAGR by 2024

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An embedded system is a combination of software and hardware which together facilitate the accurate functioning of a target device. Embedded system market is expected to mark significant growth over 2019 to 2024 owing to increasing consumers spending on smart phones, providing high application- specified integrated circuit and high speed operating systems applications and technological advancement. 

A recent Advance Market Analytics market study is being classified by Type (Normal Phase HPLC and Reverse Phase HPLC), by Application (Automotive, Telecommunication, Healthcare, Industrial, Consumer Electronics and Military & Aerospace) and major geographies with country level break-up. According to this study, the Global Embedded Systems market is expected to see growth rate of 5.28% and may see market size of USD536.2 Million by 2024.

Read more

Distinct AI Techniques Bring Different Business Values

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Machine learning and deep learning are often conflated by business decision makers. Machine Learning can involve a wide variety of techniques for building analytics models or decision engines that don't involve neural networks, the mechanism for deep learning. And there is a whole range of AI techniques outside of machine learning as well that can be applied to solve business problems.

Do you leverage these techniques or do you prefer computer vision and natural language processing applications to solve your business problems?

Read George Lawton article in TechTarget

TESTAR test results extracted while executing MyThaiStar as web system under test

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Authors: Fernando Pastor Ricos and Tanja E. Vos from Universitat Politècnica de València

TESTAR test results datasets extracted with TESTAR tool using MyThaiStar web application as System Under Test (SUT). These datasets have been generated to be used as an example to be automatically generated and introduced locally in DECODER PKM, from H2020 DECODER Project.

TESTAR tool is an open source tool for automated testing through graphical user interface (GUI) currently  being  developed  by  the Universitat Politecnica de Valencia and the Open University of the Netherlands.

MyThaiStar is the reference application that Capgemini uses internally to promote best programming practices and the correct use of last technologies. It’s is developed with Devon Framework, the standard tool for development at the company. More...

OW2con'20, online edition

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OW2con'20: OW2online'20 + OW2 Community Day
Date: June 17-18, 2020
Visit: OW2Online'20

OW2con'20 goes online with one day of online presentations on June 17 and 1/2 day of break-out sessions on June 18. 

The DECODER project is presented by Virgile Prevosto, CEA Researcher and DECODER Project Technical Leader. Check out the OW2con'20 conference program for more information about the talks and sessions organized this year.

Well after the COVID-19 lockdown, a face-to-face OW2 Community Day with keynotes, round tables, awards and multiple networking opportunities will take place in Paris Châtillon, at Orange Labs, November the 3rd, 2020. 

OW2online'20 DECODER Video


OW2online'20 DECODER Presentation


The DECODER Project will be showcased at OW2online’20, June 17

Several hundreds of OW2 members and partners will learn more about the DECODER Software Project Intelligence Platform designed for DevOps teams, during the OW2 annual conference.

Paris, June 3, 2020 - The DECODER Project team is glad to present a smarter environment for DevOps teams at OW2online’20. The DECODER project gathers seven members from four European countries, including one University, one research organization, two industrial partners and three SMEs. It is coordinated by Technikon, with CEA List as Technical Leader and involves OW2 as dissemination leader and use case provider. 

View the full Press Release.

An MLOps approach to bring models to production

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Machine Learning Open Studio and Model as a Service (MaaS) from Activeeon helps data scientists and IT operations work together in an MLOps approach allowing to bring ML models to production. Machine Learning Open Studio includes automatic data drift detection mechanisms and allows traceability and audit over model performance to retrain it when necessary.

Only a small percentage of ML projects make it to production because of deployment complexity, lack of governance tools and many other reasons. Once in production, ML models often fail to adapt to the changes in the environment and its dynamic data which results in performance degradation.

To maintain the prediction accuracy of ML models in production, an active monitoring of model performance is mandatory. This allows to know when to retrain it using the most recent data and the newest implementation techniques, then redeploy in production. More...

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