Statistical Methods in Software Engineering

软件工程中的统计方法

• 批准号: 9214755
• 负责人: John Tucker
• 金额: $ 5.33万
• 依托单位: National Academy of Sciences
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1992
• 资助国家: 美国
• 起止时间: 1992-09-15 至 1996-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9214755&HistoricalAwards=false
• 关键词: Statistical; Methods; Software; Engineering

The Board on Mathematical Sciences (BMS), National Research Council (NRC), through its Committee on Applied and Theoretical Statistics (CATS) will establish a panel to produce a report spotlighting problem areas in software engineering to which the application of modern statistical methodology can be fruitfully applied. The report will both emphasize the relevance of employing rigorous statistical and probabilistic techniques in software engineering contexts, and delineate opportunities for further research in this direction. It will address education and training of software engineers in statistical methodology, and of statisticians interested in software engineering. The panel will be composed of software engineers (including human factors specialists), applied probabilists, and statisticians. The report will influence software engineering by exhibiting methods for assessing software productivity, quality, reliability, risk, safety, and management of software development process. It will outline a program of research in the statistical sciences and their applications to software engineering. As a subsidiary benefit, this report will influence other closely related disciplines, e.g., applied mathematics, operations research, computer science, systems engineering, industrial engineering, and quality control.

数学科学委员会（BMS）、国家研究委员会（NRC）将通过其应用和理论统计委员会（CATS）成立一个小组，以编写一份报告，重点介绍软件工程中应用现代统计方法的问题领域，这些领域可以有效地应用。该报告将强调在软件工程环境中使用严格的统计和概率技术的相关性，并描述在这个方向上进一步研究的机会。它将讨论统计方法方面的软件工程师的教育和培训，以及对软件工程感兴趣的统计学家。该小组将由软件工程师（包括人为因素专家）、应用概率学家和统计学家组成。该报告将通过展示评估软件生产力、质量、可靠性、风险、安全性和软件开发过程管理的方法来影响软件工程。它将概述统计科学及其在软件工程中的应用的研究计划。作为一个附属利益，本报告将影响其他密切相关的学科，如应用数学、运筹学、计算机科学、系统工程、工业工程和质量控制。