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DC-IR

AI based software platform

Total Cost €

0

EC-Contrib. €

0

Partnership

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 DC-IR project word cloud

Explore the words cloud of the DC-IR project. It provides you a very rough idea of what is the project "DC-IR" about.

approx    frameworks    ph1    finalise    11    companies    5k    languages    856    offers    representations    learnings    reviews    guarantee    almost    stage    source    industry    beta    map    proprietary    52bn    validating    detectable    licenses    ml    techniques    savings    code    performs    manner    uses    create    billions    save    assurance    impossible    ph2    fixing    dc    gt    improvements    market    big    data    answer    20    solution    proportionally    language    intelligence    ir    version    spending    paid    software    unlimited    platform    machine    learning    annually    oacute    suggestions    full    question    single    solutions    powerful    review    repositories    provides    globally    programmers    errors    fixes    see    consuming    solved    tool    developer    road    lines    millions    services    coding    levels    programming    close    deepcode    expensive    trained    25    time    artificial    automatically    compounded    rises    defects    independent    quality    developers    optimisation    thousands    integrates    google    ai    versi    suggest   

Project "DC-IR" data sheet

The following table provides information about the project.

Coordinator
DEEPCODE AG 

Organization address
address: KASINOSTRASSE 10
city: ZURICH
postcode: 8032
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 Switzerland [CH]
 Project website https://www.deepcode.ai/
 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  2019-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    DEEPCODE AG CH (ZURICH) coordinator 50˙000.00

Map

 Project objective

Software has become very complex with time, with each software program having millions of lines of code. With so many code lines, it is close to impossible not to make errors when coding. The number of code defects rises proportionally with more code lines, (approx. 10-20 defects per 1,000 lines of code). This necessitates millions of code reviews and code fixes for a single software program. The current code review process is very expensive, time consuming (with companies like Google spending >25% of their time on code reviews) and often does not guarantee success in fixing the code. The software industry needs a cost & time-effective code analysis tool that is unlimited in detectable code errors and programming languages. Our solution is DeepCode AI Code Review (DC-IR), an Artificial Intelligence (AI) platform that automatically performs reviews on software code and provides suggestions based on Big Code learnings (how others solved similar code related problems). Our platform is trained from millions of Open Source repositories (billions of lines of code; thousands of frameworks & millions of code fixes) and uses these data sets to suggest code improvements for programmers. DC-IR integrates many levels of program code analysis into proprietary Machine Learning (ML) representations which are used by powerful ML techniques to create Data Sets that can answer almost any question about a software in a language independent manner. DC-IR offers a full set of services for code optimisation with solutions for code fixes & quality assurance. DC-IR enables developers to save 20% of development time, leading to savings of €11,856 annually per developer, which compounded globally can save the industry >€52Bn annually. DC-IR is at an advanced stage of development with a Beta version already deployed and having more than 5k users, some using paid licenses. During Ph1, we will develop a road map to finalise DC-IR and Ph2 will see us developing and validating the market versión.

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The information about "DC-IR" are provided by the European Opendata Portal: CORDIS opendata.

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