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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.

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

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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