PRIME

Programming with Millions of Examples

 Coordinatore TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY 

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 Nazionalità Coordinatore Israel [IL]
 Totale costo 1˙500˙000 €
 EC contributo 1˙500˙000 €
 Programma FP7-IDEAS-ERC
Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call ERC-2013-CoG
 Funding Scheme ERC-CG
 Anno di inizio 2014
 Periodo (anno-mese-giorno) 2014-03-01   -   2019-02-28

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY

 Organization address address: TECHNION CITY - SENATE BUILDING
city: HAIFA
postcode: 32000

contact info
Titolo: Mr.
Nome: Mark
Cognome: Davison
Email: send email
Telefono: +972 4 829 3097
Fax: +972 4 823 2958

IL (HAIFA) hostInstitution 1˙500˙000.00
2    TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY

 Organization address address: TECHNION CITY - SENATE BUILDING
city: HAIFA
postcode: 32000

contact info
Titolo: Prof.
Nome: Eran
Cognome: Yahav
Email: send email
Telefono: 97248294318
Fax: 97248293900

IL (HAIFA) hostInstitution 1˙500˙000.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

grained    techniques    software    fragments    programming    components    problem    fine    synthesis    reduces    generating    code   

 Obiettivo del progetto (Objective)

'The goal of this proposal is to make programming easier and more productive. We propose to develop novel program synthesis techniques, generating procedural code from declarative specifications. Existing techniques apply synthesis at such a fine grain that they can never hope to generate code of the richness and complexity required by application-level programmers. In contrast, we aim to develop synthesis algorithms that leverage the collective programming knowledge captured in millions of open-source projects. By using existing code fragments as components for synthesis, we enable synthesis to work at a higher-level of abstraction and synthesize realistic programs. Our approach represents a conceptual leap as it reduces the problem of generating code to the problem of checking whether existing code (or a combination of existing code fragments) is an appropriate solution. In some cases, this reduces the problem of synthesis to a problem of semantic code search. In other cases, it reduces the problem of synthesis over fine-grained components to synthesis as composition of coarse-grained components. The key problems are how to specify the desired behavior, how to find useful code fragments in the vast existing body of software, and the how to use synthesis to modify and assemble these fragments to form a program.

Our approach combines insights and techniques from research on program analysis, program synthesis, software engineering, and machine learning. The outcome of the project will be new research directions.'

Altri progetti dello stesso programma (FP7-IDEAS-ERC)

COMPLEX_TRAITS (2012)

High-throughput dissection of the genetics underlying complex traits

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ENDOSWITCH (2011)

Network Principles of Neuroendocrine Control: Tuberoinfundibular Dopamine (TIDA) Oscillations and the Regulation of Lactation

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AORVM (2008)

The Effects of Aging on Object Representation in Visual Working Memory

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