课题基金 / 基金详情

Practical and Explainable Analytics to Prevent Future Software Defects

Practical and Explainable Analytics to Prevent Future Software Defects
实用且可解释的分析,以防止未来的软件缺陷
批准号:
DE200100941
负责人:
Dr Chakkrit Tantithamthavorn
金额:
$27.58万
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:
2020
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2020-03-02 至 2023-03-02

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 project aims to create technologies that enable software engineers to produce the highest quality software systems with the lowest costs, by preventing future defects in safety-critical systems that could result in death and disasters. Expected outcomes of this project include new theories, techniques, and analytics systems to assist software engineers accurately predict, explain, and prevent future software defects before they impact end users. This should provide significant benefits including accelerating the productivity of the software industry while preventing software defects in many critical domains including smart city and e-health applications.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
海外基金