Automating the location and manipulation of user concepts in code

在代码中自动定位和操作用户概念

• 批准号: 522107-2017
• 负责人: Murphy, Gail
• 金额: $ 1.79万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=640431
• 关键词: Automating; location; manipulation; user; concepts

ACL creates a SaaS (Software as a Service) platform enabling organizations to monitor and evaluate theirGovernance, Risk Management, and Compliance (GRC) using a data-driven approach. The users of thissoftware are often auditors charged with determining precise paths of activity in an organization. In thissoftware domain, being able to track user actions in the ACL software in terms of concepts appropriate forauditors is key to supporting the governance a user expects. This tracking requires mapping specific codeexecution patterns in the software to the domain concepts. This project will investigate if existing approachesin the research literature to concept location and concept modularization are appropriate to abstract softwareexecution to the concept reporting needed by ACL. By considering the first steps towards the automaticidentification of the concept of interest in the source code, this project aims to significantly reduce the cost ofadding this governance support to ACL systems.

ACL 创建了一个 SaaS（软件即服务）平台，使组织能够使用数据驱动的方法监控和评估其治理、风险管理和合规性 (GRC)。该软件的用户通常是负责确定组织中精确活动路径的审计员。在此软件领域中，能够根据适合审核员的概念跟踪 ACL 软件中的用户操作是支持用户期望的治理的关键。这种跟踪需要将软件中的特定代码执行模式映射到域概念。该项目将调查研究文献中概念定位和概念模块化的现有方法是否适合将软件执行抽象为 ACL 所需的概念报告。通过考虑自动识别源代码中感兴趣的概念的第一步，该项目旨在显着降低向 ACL 系统添加此治理支持的成本。