Opendata, web and dolomites


The Artificial Intelligence Code Analysis & Recommendation Engine to drive software development speed & reliability for global corporations

Total Cost €


EC-Contrib. €






 GAMMA 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.

109    custom    save    acellere    rules    analytical    gamma    source    developer    apache    innovation    proven    leader    standard    engine    losses    retail    market    15    predictive    code    cutting    time    proposes    appear    healthcare    public    110    complexity    tools    slow    service    nascent    risks    repositories    monetary    language    75    60    percentage    highest    uncover    bug    centred    software    helps    combining    immediately    learning    impacting    fixes    bugs    artificial    engines    natural    fill    types    accuracy    efficient    edge    trillion    issue    cluster    industries    kafka    unfortunately    identification    disruptive    lucene    companies    components    tricentis    original    salary    tech    error    fail    scaling    lengthy    gap    transform    smart    surprisingly    recommendation    errors    first    cassandra    patterns    developers    review    engineering    failures    goes    programming    ai    intelligence    detects    platform    innovative    when   

Project "GAMMA" data sheet

The following table provides information about the project.


Organization address
postcode: 60325
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Project website
 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


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    EMBOLD TECHNOLOGIES GMBH DE (FRANKFURT) coordinator 50˙000.00


 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.

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