GAMMA SIGNED
The Artificial Intelligence Code Analysis & Recommendation Engine to drive software development speed & reliability for global corporations
Total Cost €
0EC-Contrib. €
0Partnership
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0GAMMA project word cloud
Explore the words cloud of the GAMMA project. It provides you a very rough idea of what is the project "GAMMA" about.
Project "GAMMA" data sheet
The following table provides information about the project.
| Coordinator |
EMBOLD TECHNOLOGIES GMBH
Organization address contact info |
| Coordinator Country | Germany [DE] |
| Project website | http://www.acellere.com |
| Total cost | 71˙429 € |
| EC max contribution | 50˙000 € (70%) |
| Programme |
1. H2020-EU.3. (PRIORITY 'Societal challenges) 2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs) 3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies) |
| Code Call | H2020-SMEInst-2018-2020-1 |
| Funding Scheme | SME-1 |
| Starting year | 2019 |
| Duration (year-month-day) | from 2019-06-01 to 2019-11-30 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | EMBOLD TECHNOLOGIES GMBH | DE (FRANKFURT) | coordinator | 50˙000.00 |
Map
Project objective
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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The information about "GAMMA" are provided by the European Opendata Portal: CORDIS opendata.