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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.

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

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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