An Analogical Model of Software Effort Estimation

软件工作量估计的类比模型

• 批准号: 8921287
• 负责人: Michael Prietula
• 金额: $ 6.24万
• 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: 1990
• 资助国家: 美国
• 起止时间: 1990-08-15 至 1992-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8921287&HistoricalAwards=false
• 关键词: Analogical; Model; Software; Effort; Estimation

The objective of this project is to develop a new psychological model of expert software effort estimation based on analogy and case-based reasoning. The research activities include psychological studies, computer modeling and validation, and simulation experiments to formulate an accurate model of analogical reasoning in the domain of effort estimation. The results of this research will provide major insights into how expert effort estimators perform their task and how to improve the effort estimation process. The long term goal is to weave together the symbolic methods of the expert with analytical methods in order to provide more understandable and more accurate estimates of project effort.

本项目的目标是开发一种新的基于类比和案例推理的专家软件工作估计心理模型。研究活动包括心理学研究、计算机建模和验证，以及模拟实验，以形成努力估计领域中类比推理的准确模型。这项研究的结果将为专家努力估计者如何执行他们的任务以及如何改进努力估计过程提供重要的见解。长期目标是将专家的符号方法与分析方法结合在一起，以便对项目工作提供更容易理解和更准确的估计。