Opendata, web and dolomites


An Artificial Assistant for Software Developers

Total Cost €


EC-Contrib. €






 DEVINTA project word cloud

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

workstation    everyday    types    infer    techniques    complete    form    faster    obtain    serving    software    code    recommenders    valid    choices    solution    reviews    models    collaborating    developer    catching    teams    interacting    interactions    conversational    predictive    machine    uses    proposes    intelligence    implementing    share    helps    understand    language    teammates    tackled    developers    translation    writing    profile    performing    complexity    automatically    suboptimal    always    source    assistant    proactive    recommending    anymore    alternative    devinta    first    recommendations    interact    fetched    context    artificial    preferred    seem    comprehending    single    ideas    bugs    quality    valuable    vision    fall    interfaces    online    supporting    programming    natural    pair    questions    recommender    adapt    day    unfamiliar    answer    writes    improvement    teammate    review    hardly    documentation    basis    solutions    introducing    items    people    disambiguate    variety   

Project "DEVINTA" data sheet

The following table provides information about the project.


Organization address
city: LUGANO
postcode: 6904

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]
 Total cost 1˙499˙093 €
 EC max contribution 1˙499˙093 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2019-STG
 Funding Scheme ERC-STG
 Starting year 2020
 Duration (year-month-day) from 2020-02-01   to  2025-01-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

Software development, also due to the complexity of software systems, is tackled by collaborating teams of people. For example, in pair programming two developers share a single workstation: One writes code, while the other reviews it and proposes ideas for improvement. While interacting with teammates is the preferred means to obtain help, their availability may fall short and they might not always have a solution at hand. To address this problem, recommender systems for developers have been proposed in the form of applications providing information items considered valuable for a given task and context (e.g., recommending documentation useful to understand a code component). However, these recommenders can hardly be considered as a valid alternative to teammates since they are not proactive, do not support the developer in a wide variety of tasks, do not adapt their recommendations to the developer’s profile, and fall short in having meaningful interactions with the developer (e.g., they are not able to answer developers’ questions). Given the advances in artificial intelligence, the vision that one day a developer's teammate is a machine does not seem far-fetched anymore. The DEVINTA project aims at making this future a reality, introducing models and techniques serving as the basis for the first artificial assistant supporting developers in their everyday activities. The assistant helps in (i) comprehending unfamiliar code via source code to natural language translation; (ii) writing code faster, providing predictive feature implementation, meaning the ability to infer the feature the developer is implementing and automatically complete it; and (iii) improve code quality, performing online code review while the developer types the code, timely catching bugs and suboptimal implementation choices and providing solutions for them. The assistant uses advanced conversational interfaces to interact with the developer, answer her questions, and disambiguate her needs.

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The information about "DEVINTA" are provided by the European Opendata Portal: CORDIS opendata.

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