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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

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中文摘要
翻译
该项目旨在创建技术,使软件工程师能够以最低的成本生产最高质量的软件系统,通过防止安全关键系统中可能导致死亡和灾难的未来缺陷。这个项目的预期结果包括新的理论、技术和分析系统,以帮助软件工程师在影响最终用户之前准确地预测、解释和防止未来的软件缺陷。这将带来显著的好处,包括加速软件行业的生产力,同时防止智能城市和电子卫生应用等许多关键领域的软件缺陷。
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.
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