Discovery Early Career Researcher Award - Grant ID: DE220101057

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DE220101057

Funding Status
Active

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Funded Activity Summary

Practical Automated Software Bug Fixing via Syntactic and Semantic Analyses. This proposal aims to advance the practical adoption of automated software bug repair, which has recently been adopted by industry, e.g., Facebook. It will produce novel methods that use mining software repositories, program analysis, and human-guided search to help automated repair to scale and be accurate. Expected outcomes include a publicly available automated bug repair framework. This project will help the software industry deliver to users high quality software with improved reliability and safety, and increase education quality for students learning to code via automated feedback generation.

Funded Activity Details

Start Date: 01-01-2022

End Date: 31-12-2024

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $424,140.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Programming Languages | Software Engineering | Computer Software |

ANZSRC Socio-Economic Objective (SEO)

Application Software Packages (excl. Computer Games) | Application Tools and System Utilities

Other Keywords

Application Software Packages (excl. Computer Games) | Application Tools and System Utilities | Computer Software | Programming Languages | Software Engineering

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