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DC-IR

AI based software platform

Total Cost €

0

EC-Contrib. €

0

Partnership

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 Outcomes and results

 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.

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

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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