CPA-SEL: Better Tools for Software Understanding

CPA-SEL：更好的软件理解工具

• 批准号: 0811610
• 负责人: Brad Myers
• 金额: $ 30万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-07-01 至 2012-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0811610&HistoricalAwards=false
• 关键词: CPA; SEL; Better; Tools; Software

TITLE: Betters Tools for Software UnderstandingPI: Brad A. Myers, Carnegie Mellon UniversityUnderstanding software is a prerequisite to taking any action to change it, and this remains expensive and error-prone. Research with programmers in the field has identified significant barriers to understanding. Lab and field studies of usability barriers in understanding and using APIs will result in models of how developers understand the design of the objects. These results will lead to new software tools for API exploration and understanding. Work on enabling people to better understand and fix bugs through new visualizations and interaction techniques will allow them to ask "Why" and "Why Not" questions about their code, with the answer visualizing the responsible code and dataflow. New tools will support understanding code by others during reverse engineering activities, focusing on how data and control can flow through large and complex programs. Using static analysis techniques and a new "WhatTree" visualization will allow programmers to investigate the update paths of their programs, while supporting the programmers in collecting and keeping track of facts and hypotheses about how the program operates. The results will improve programmer success and thus their overall productivity.

题目：更好的软件理解工具pi: Brad a . Myers，卡内基梅隆大学理解软件是采取任何改变它的行动的先决条件，这仍然是昂贵且容易出错的。对该领域的程序员进行的研究已经确定了理解的重大障碍。对理解和使用api的可用性障碍的实验室和现场研究将产生开发人员如何理解对象设计的模型。这些结果将产生用于API探索和理解的新软件工具。通过新的可视化和交互技术，使人们能够更好地理解和修复错误，这将使他们能够对代码提出“为什么”和“为什么不”的问题，并通过可视化的方式显示负责的代码和数据流。新的工具将在逆向工程活动中支持其他人理解代码，重点关注数据和控制如何在大型和复杂的程序中流动。使用静态分析技术和新的“WhatTree”可视化将允许程序员调查他们的程序的更新路径，同时支持程序员收集和跟踪关于程序如何运行的事实和假设。结果将提高程序员的成功，从而提高他们的整体生产力。