Project description
AI/ML solution for bug fixing
The software development industry has experienced remarkable growth in recent years, yet this expansion has highlighted numerous challenges and obstacles. Among these challenges, software bugs emerge as a significant issue, often occurring frequently and demanding a substantial portion (ranging from 28 % to 50 %) of the budget for detection and resolution, along with consuming extensive development time. With this in mind, the ERC-funded BugGPT project will build upon LearnBugs ERC project findings to devise a groundbreaking technique for automatically pinpointing and suggesting solutions for bugs. Leveraging machine learning and Artificial Intelligence technologies, this technique promises to significantly diminish the time and effort required to rectify bugs.
Objective
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.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.1 - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-ERC-POC - HORIZON ERC Proof of Concept Grants
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2023-POC
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
70174 Stuttgart
Germany
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.