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BugGPT

Financiado

Practical, Learning-Based Tools for Finding and Fixing Bugs

Software bugs are a major problem for software developers and users alike, as they cause crashes, security vulnerabilities, and data loss. Unfortunately, identifying and fixing software bugs is among the most expensive and time-co... ver más

30/11/2025

USTUTT

150K€

Presupuesto del proyecto: 150K€

Líder del proyecto

UNIVERSITY OF STUTTGART No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2024-01-26

Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:

ERC-2023-POC: ERC PROOF OF CONCEPT GRANTS

I+D

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1 Participantes

USTUTT

150.00K€ | Lider

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Últimas noticias

30-11-2024: Cataluña Gestión For... Se ha cerrado la línea de ayuda pública: Gestión Forestal Sostenible para Inversiones Forestales Productivas para el organismo:

29-11-2024: IDAE En las últimas 48 horas el Organismo IDAE ha otorgado 4 concesiones

29-11-2024: ECE En las últimas 48 horas el Organismo ECE ha otorgado 2 concesiones

Duración del proyecto: 22 meses Fecha Inicio: 2024-01-26
Fecha Fin: 2025-11-30

Líder del proyecto

UNIVERSITY OF STUTTGART

TRL 4-5

Presupuesto del proyecto 150K€

Descripción del proyecto Software bugs are a major problem for software developers and users alike, as they cause crashes, security vulnerabilities, and data loss. Unfortunately, identifying and fixing software bugs is among the most expensive and time-consuming tasks in software development, accounting for 28% to 50% of the costs of a billion-dollar industry. The LearnBugs ERC project, on which this proposal is based, has developed ground-breaking techniques to automatically find bugs and to propose suitable bug fixes. These techniques are based on artificial intelligence and deep learning, making them particularly powerful for kinds of bugs missed by traditional software developer tools. However, these techniques are currently only available as research prototypes, and there is a gap to be bridged in order to integrate them successfully into the software development workflow. This Proof of Concept proposal, named BugGPT, aims to make learning-based techniques for finding and fixing software bugs practical and usable by software developers. The project will develop practical tools that enable software developers to automatically find and fix bugs in their code. To this end, we will perform technical development activities that address the questions of where, when, and how to suggest bug fixes. Furthermore, we will perform business development activities to identify potential customers, to evaluate the usefulness of our tools, and to compare potential business models with each other. Overall, BugGPT has the potential to make a significant impact on the software development industry by making learning-based bug finding and fixing practical for software developers. If successful, the project could be the beginning of a commercial product that stirs up the market of software development tools.

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