课题基金 / 基金详情

Practical Automated Software Bug Fixing via Syntactic and Semantic Analyses

Practical Automated Software Bug Fixing via Syntactic and Semantic Analyses
通过句法和语义分析进行实用的自动化软件错误修复
批准号:
DE220101057
负责人:
Dr Dinh Xuan Bach Le
金额:
$30.44万
依托单位:
依托单位国家:
澳大利亚
项目类别:
Discovery Early Career Researcher Award
财政年份:
2022
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2022-01-01 至 2024-12-31

项目摘要

项目成果

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
海外基金