Automating the location and manipulation of user concepts in code
Automating the location and manipulation of user concepts in code
批准号:
522107-2017
负责人:
Murphy, Gail
金额:
$1.79万
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
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31
中文摘要
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活动的精确路径的审计员。在这个软件领域中,能够按照适合审计员的概念跟踪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。本项目将调查研究文献中现有的概念定位和概念模块化方法是否适合于将软件执行抽象为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,该项目旨在显著降低将这种治理支持添加到ACL系统的成本。
英文摘要
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.
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