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EAGER: Development of a Software Engineering Curriculum for Computational Science and Engineering

EAGER: Development of a Software Engineering Curriculum for Computational Science and Engineering
EAGER:计算科学与工程软件工程课程的开发
批准号:
1243887
负责人:
Jeffrey Carver
金额:
$10.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-10-01 至 2017-12-31

项目摘要

项目成果

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中文摘要
翻译
由开发人员开发的非传统软件越来越多,即由没有受过软件工程实践正式培训的人开发的软件,以及在对软件开发施加与传统IT软件开发环境不同的限制的环境中开发的软件。为计算科学与工程开发的软件 是非传统软件的一个突出而重要的类型。计算科学和工程软件支持对影响我们重要国家利益的主题进行调查(例如癌症研究,核武器维护,气候研究和天体物理学)。CSE软件的开发有一些独特的限制,使其成为非传统软件开发环境的一个很好的例子。为了满足人们对高质量计算科学软件日益增长的兴趣和需求,本提案的目标是开发和提供专门针对大规模计算科学软件的课程模块。在这项工作中,PI将开发一个由软件工程模块组成的课程,这些模块是为计算科学家开发人员量身定制的。这些模块将被设计为教育非传统的开发人员有关相关的软件工程工具和技术。它们将被打包用于大学环境,嵌入现有课程或作为新课程的一部分,或在该领域,作为在各个国家实验室和适当的会议场所提供的培训课程,如国际会议,超级计算。这项工作采用案例研究的方法,加上跨学科的研讨会。 该计划是通过关注测试驱动的开发和软件检查以及需求收集与发现相结合的一般问题来涵盖验证和验证以及敏捷方法的主题。这项工作将导致专门为非传统开发人员创建的打包的可重用SE模块。这些模块将满足CSE开发人员最迫切的需求。这些单元将在各种场所提供,材料在使用过程中得到评价,并对参与者的学习情况进行衡量。为开发高质量的CSE软件提供支持将在许多领域对推进科学和工程知识产生广泛的影响。
英文摘要
There is an increasing amount of non-traditional software being developed by developers, i.e. software developed by people not formally trained in software engineering practices and developed in environments that place different constraints on software development than are found in more traditional IT software development environments. Software developed for Computational Science and Engineering is a prominent and important type of non-traditional software. Computational science and engineering software supports the investigation of topics that impact our vital national interests (e.g. cancer research, maintenance of nuclear weapons, climate research, and astrophysics). The development of CSE software has some unique constraints that make it a good example of a non-traditional software development environment. To address the growing interest and need for high-quality computational science software, the goal of this proposal is to develop and deliver curriculum modules focused specifically on software for large scale computational science. In this work, the PI will develop a curriculum consisting of software engineering modules tailored for use by computational scientist developers. These modules will be designed to educate non-traditional developers about relevant software engineering tools and techniques. They will be packaged for use either in the university environment, embedded in existing courses or as part of a new course, or in the field, as training courses offered at various national labs and appropriate conference venues like the international meeting, Super Computing. The work uses a case study approach coupled with an interdisciplinary workshop. The plan is to cover the topics of validation and verification and agile methods by focusing on test-driven development and software inspection as well as the general problem of requirements gathering coupled with discovery.This work will result in packaged, reusable SE modules created specifically for nontraditional developers. These modules will address the most pressing needs of CSE developers. The modules will be delivered in a variety of venues and the material evaluated during use, as well as measures of participant learning. Providing support for the development of high-quality CSE software will have broad impacts in advancing scientific and engineering knowledge in many domains.
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Collaborative Research: EAGER: Characterizing Research Software from NSF Awards
  • 批准号:
    2211277
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.08万
  • 财政年份:
    2022
  • 负责人:
    Jeffrey Carver
  • 依托单位:
Collaborative Research: Frameworks for Intelligent Adaptive Experimentation: Enhancing and Tailoring Digital Education
  • 批准号:
    2209821
  • 项目类别:
    Standard Grant
  • 资助金额:
    $40.0万
  • 财政年份:
    2022
  • 负责人:
    Jeffrey Carver
  • 依托单位:
CC* Compute: Accelerating Advances in Science and Engineering at The University of Alabama Through HPC Infrastructure
  • 批准号:
    2018846
  • 项目类别:
    Standard Grant
  • 资助金额:
    $40.0万
  • 财政年份:
    2020
  • 负责人:
    Jeffrey Carver
  • 依托单位:
A Inquiry-Based Pedagogy and Supporting Tool to Improve Student Learning of Software Testing Concepts
  • 批准号:
    2013296
  • 项目类别:
    Standard Grant
  • 资助金额:
    $40.32万
  • 财政年份:
    2020
  • 负责人:
    Jeffrey Carver
  • 依托单位:
国内基金
海外基金
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Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
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  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位: