GAMMA
Financiado
The Artificial Intelligence Code Analysis Recommendation Engine to drive softw...
The Artificial Intelligence Code Analysis Recommendation Engine to drive software development speed reliability for global corporations
When software applications fail, the first reason is a software bug (or error). Software bugs account for the highest percentage of failures in all major industries, specifically impacting public service and healthcare the most wi...
When software applications fail, the first reason is a software bug (or error). Software bugs account for the highest percentage of failures in all major industries, specifically impacting public service and healthcare the most with 110 types of software failures, and retail and consumer tech with 109 types. According to Tricentis, monetary losses from software failures cost €1.5 Trillion.
Unfortunately, software testing methodologies and tools have been slow to transform to the new complexity and higher risks. To fill the gap in the market, Acellere has developed the Gamma Recommendation Engine, a disruptive Artificial Intelligence (AI)-based software engineering platform which efficiently detects a very wide range of software bugs in real-time and immediately proposes fixes.
Gamma goes beyond standard programming rules to uncover unique issue patterns by combining innovative AI learning approaches with custom analytical tools. Gamma’s original and surprisingly effective AI components are centred around natural-language programming, predictive modelling, and cluster identification. The engine has already been proven to work with an accuracy of 70-75% on several open source Apache repositories, such as Kafka, Cassandra, and Lucene.
Using Gamma helps software developers save time, to quickly identify errors and solve issues before they appear. Through cutting the need for lengthy code review, there is a great potential to save 60% of time (and therefore, 15% of a developer’s salary) .
The Gamma Recommendation Engine is a cutting-edge innovation that enables the effective and efficient scaling of code and software development companies, and the leader in the nascent real-time smart code recommendation engines.
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Duración del proyecto: 6 meses
Fecha Inicio: 2019-05-11
Fecha Fin: 2019-11-30
Fecha Fin: 2019-11-30
Línea de financiación: concedida
El organismo H2020 notifico la concesión del proyecto el día 2019-11-30
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
EIC-SMEInst-2018-2020:
SME instrument
Cerrada
hace 6 años
Presupuesto
El presupuesto total del proyecto asciende a
71K€
Líder del proyecto
EMBOLD TECHNOLOGIES GMBH
No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico
TRL
4-5
Perfil tecnológico
TRL
4-5
382.98K€ |
Participante