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.

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

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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