Archive
Blog - posts for December 2021
Dec 20 2021
DECODER and UPV Team Appear in El Periodic Newspaper
Publication: El Periodic (Spain)
Title: UPV participates in the creation of an innovative methodology and tools that simplify the development of new computer programmes
Date: 20/12/2021
Abstract: The DECODER project provides programmers with an intelligent system that facilitates their daily work and contributes to improving their productivity
In the project, coordinated by the Austrian company Technikon, participated personal investigator of the Instituto VRAIN of the Universitat Politècnica de València.
Read the El Periodic article
Read the Press Release and UPV news article
Dec 14 2021
UPV Podcast 2021
DECODER tools help distributed teams making smarter and better decisions
Three partners from the Universitat Politècnica de València discuss their particular roles in the DECODER H2020 project. Peter Balint speaks with Tanja Ernestina Vos, Borja Davó Gelardo and Nacho Mansanet Benavent about the project goals and progress as the consortium reaches completion of their efforts.
Listen to the DECODER EUvation podcast - Or use this link to listen the podcast on Spotify
Dec 10 2021
TREE Technology Workshop
Date: 10 December 2021
Place: Online and TREE Headquarters in Asturias, Spain
Speakers: Cristian Robledo and Francesca Sallicati
Attendees: 47 developers, testers and business managers from TREE Technology
The DECODER tools developed by TREE in WP2 are presented during a webconference today along with the main objectives and the architecture of the DECODER platform.
- More information about DECODER on the TREE website
Dec 02 2021
European Big Data Value Forum 2021
Date: Thursday, December 02, 2021
Time: 9:30AM-10:00AM
Place: online and Ljubljana (Slovenia)
Title: DECODER, an OSS Platform to reduce the complexity of source code
Speaker: Pierre-Yves Gibello (OW2)
Official EBDVF website
Abstract:
With the European DECODER Project, an ongoing H2020 collaborative research and innovation project, all stakeholders in business applications can benefit from advanced analysis in order to produce more stable and secure services.
Turning as best as possible code artefacts into formal data reduces the maintenance costs and thus the total costs of ownership of software improvements. Thanks to the DECODER platform, developers, testers and maintainers can collaborate around a central persistent knowledge database. They obtain an augmented view of integrated software code through a combination of Natural Language Processing techniques, Machine Learning and Formal Methods.