Data-Driven Code Reviews for Cost-Effective Software Quality Assurance

数据驱动的代码审查可实现经济高效的软件质量保证

• 批准号: DE210101091
• 负责人: Dr Patanamon Thongtanunam
• 金额: $ 28.28万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Early Career Researcher Award
• 财政年份: 2021
• 资助国家: 澳大利亚
• 起止时间: 2021-12-31 至 2024-12-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DE210101091
• 关键词: Data; Driven; Code; Reviews; Cost

This DECRA project aims to create advanced techniques that will enable software engineers to effectively assure the highest quality of software systems with minimal cost through data-driven recommendations. The current standard practices in software quality assurance involve the manual and tedious process of code review, which can lead to high costs and cause severe delays in software development. The expected outcomes of this project include new theories, techniques, and an automated system that provides insightful feedback, suitable reviewer recommendations, and fine-grained effort prioritisation. Significant benefits are expected to improve the production of Australia's software and the quality of safety-critical software systems.

这个DECRA项目旨在创造先进的技术，使软件工程师能够通过数据驱动的建议，以最低的成本有效地确保软件系统的最高质量。当前软件质量保证的标准实践涉及手工和繁琐的代码审查过程，这可能导致高成本并导致软件开发的严重延误。这个项目的预期结果包括新的理论、技术和自动化系统，该系统提供有洞察力的反馈、合适的评审者建议和细粒度的工作优先顺序。预计重大收益将改善澳大利亚软件的生产和安全关键软件系统的质量。