IRES Track I: U.S.-Czech Student Research Experience on Software Test Automation and Quality Assurance

IRES Track I:美国-捷克学生在软件测试自动化和质量保证方面的研究经验

基本信息

  • 批准号:
    1854049
  • 负责人:
  • 金额:
    $ 28.83万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-03-15 至 2023-08-31
  • 项目状态:
    已结题

项目摘要

This IRES project will provide six U.S. undergraduate students with an eight-week summer research experience every year for three years in Brno, Czech Republic. The research experience will enable the students to gain new knowledge and skills related to testing, quality assurance, and code-inspection of distributed software systems used for large enterprises. The students will be mentored by internationally-renowned researchers in the field. The students? projects in the field of testing and quality assurance will be led by researchers from the Czech Technical University and experts from Red Hat, the world's leading provider of open-source enterprise software solutions. The student research and experiments will be performed at the Software Testing IntelLigent Lab at the Czech Technical University in Prague and at the Red Hat research facility located in Brno, Czech Republic. Students will gain complete knowledge of the test development cycle, modern testing toolkits, production-level development, and research skills. Students will research novel code-inspection techniques, further enabling knowledge in this field and boosting the capabilities of the U.S. software industry. The remote sites selected for the research experiences will provide students with a unique opportunity to work with an internationally-renowned research team that has extensive expertise in model-based testing. These experiences will enable the participating students to start their research or academic careers. The students will bring their new expertise and skills back to the U.S., leading to improved economic competitiveness in the field of distributed software systems, quality assurance and stronger partnerships between academia and industry.This project will provide computer science students with the opportunity to research novel code-inspection mechanisms for extracting module information and ensuring the proper functioning and interaction between all modules in a distributed software system. The research collaboration will involve Baylor University, the Czech Technical University in Prague, and industry partner Red Hat. Collaborators from the Czech Technical University in Prague specialize in test automation, experimental model-based testing, coverage optimization algorithms, and verification models. Red Hat is the market leader in open-source middleware and enterprise technologies, with unmatched expertise in production-level quality assurance and testing practice. Baylor University collaborators specialize in code inspection and code transformations. Interaction and collaboration of these three partnering groups will facilitate knowledge exchange and improvements of test automation and quality assurance of distributed systems. Student researchers will use existing open-source code-inspection tools and help develop and apply new ones. This IRES project will advance knowledge of code-inspection techniques to improve module testing and quality assurance processes in distributed systems. It will also help with the automation of model construction for model-based testing approaches that will lead to improved test generation, test coverage validation, verification of module information compliance, and more in this field. Student's individual open-source projects created during their research experience will directly contribute to improved testing and quality assurance in distributed software systems. The results will, in the end, help reduce efforts and costs related to testing and improve quality assurance of future software products, leading to fewer defects and bugs in products before customer release.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
该IRES项目将在三年内每年为六名美国本科生提供在捷克共和国布尔诺为期八周的暑期研究经历。研究经验将使学生获得与大型企业使用的分布式软件系统的测试、质量保证和代码检查相关的新知识和技能。学生将接受该领域国际知名研究人员的指导。学生们?测试和质量保证领域的项目将由捷克技术大学的研究人员和全球领先的开源企业软件解决方案提供商红帽的专家领导。学生的研究和实验将在布拉格捷克技术大学的软件测试 IntelLigent 实验室和位于捷克共和国布尔诺的红帽研究机构进行。学生将获得测试开发周期、现代测试工具包、生产级开发和研究技能的完整知识。学生将研究新颖的代码检查技术,进一步增强该领域的知识并提高美国软件行业的能力。为研究体验选择的远程地点将为学生提供与国际知名研究团队合作的独特机会,该团队在基于模型的测试方面拥有丰富的专业知识。这些经历将使参与的学生能够开始他们的研究或学术生涯。学生们将把他们的新专业知识和技能带回美国,从而提高分布式软件系统领域的经济竞争力、质量保证以及学术界和工业界之间更牢固的合作关系。该项目将为计算机科学专业的学生提供研究新颖的机会用于提取模块信息并确保分布式软件系统中所有模块之间正常运行和交互的代码检查机制。这项研究合作将涉及贝勒大学、布拉格捷克技术大学和行业合作伙伴红帽。来自布拉格捷克技术大学的合作者专注于测试自动化、基于实验模型的测试、覆盖优化算法和验证模型。红帽是开源中间件和企业技术的市场领导者,在生产级质量保证和测试实践方面拥有无与伦比的专业知识。贝勒大学的合作者专注于代码检查和代码转换。这三个合作小组的互动和协作将促进知识交流以及分布式系统测试自动化和质量保证的改进。学生研究人员将使用现有的开源代码检查工具并帮助开发和应用新工具。该 IRES 项目将增进代码检查技术的知识,以改进分布式系统中的模块测试和质量保证流程。它还将有助于基于模型的测试方法的模型构建自动化,从而改进该领域的测试生成、测试覆盖率验证、模块信息合规性验证等。学生在研究过程中创建的个人开源项目将直接有助于改进分布式软件系统的测试和质量保证。最终结果将有助于减少与测试相关的工作量和成本,并提高未来软件产品的质量保证,从而在向客户发布之前减少产品中的缺陷和错误。该奖项反映了 NSF 的法定使命,并被认为值得支持通过使用基金会的智力优点和更广泛的影响审查标准进行评估。

项目成果

期刊论文数量(49)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
A Comprehensive Enterprise System Metamodel for Quality Assurance
用于质量保证的综合企业系统元模型
Filling The Gaps in Microservice Frontend Communication: Case for New Frontend Patterns [Filling The Gaps in Microservice Frontend Communication: Case for New Frontend Patterns]
填补微服务前端通信的空白:新前端模式的案例 [填补微服务前端通信的空白:新前端模式的案例]
Towards Security-Aware Microservices: On Extracting Endpoint Data Access Operations to Determine Access Rights [Towards Security-Aware Microservices: On Extracting Endpoint Data Access Operations to Determine Access Rights]
迈向安全感知微服务:论提取端点数据访问操作以确定访问权限 [迈向安全感知微服务:论提取端点数据访问操作以确定访问权限]
On Log Analysis and Stack Trace Use to Improve Program Slicing
  • DOI:
    10.1007/978-981-33-6385-4_25
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Vincent Bushong;Jacob Curtis;Russell Sanders;Mark Du;T. Cerný;Karel Frajták;Pavel Tisnovsky;Dongwan Shin
  • 通讯作者:
    Vincent Bushong;Jacob Curtis;Russell Sanders;Mark Du;T. Cerný;Karel Frajták;Pavel Tisnovsky;Dongwan Shin
A Data Analysis Study of Code Smells within Java Repositories
Java 存储库中代码异味的数据分析研究
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Tomas Cerny其他文献

The Microservice Dependency Matrix
微服务依赖关系矩阵
  • DOI:
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Amr S. Abdelfattah;Tomas Cerny
  • 通讯作者:
    Tomas Cerny
Impact of Pose Estimation Models for Landmark-based Sign Language Recognition
姿势估计模型对基于地标的手语识别的影响
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Cristian Lazo;Joe Huamani;Manuel Stev;Harold Huamán;Gissella Bejarano;Pablo Rivas;Tomas Cerny
  • 通讯作者:
    Tomas Cerny
Towards Smart User Interface Design
迈向智能用户界面设计

Tomas Cerny的其他文献

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{{ truncateString('Tomas Cerny', 18)}}的其他基金

IRES Track I: US-Finnish research on sustainable evolution and technical debt management in cloud-native systems
IRES Track I:美国-芬兰关于云原生系统可持续发展和技术债务管理的研究
  • 批准号:
    2245287
  • 财政年份:
    2023
  • 资助金额:
    $ 28.83万
  • 项目类别:
    Standard Grant
IRES Track I: US-Finnish research on sustainable evolution and technical debt management in cloud-native systems
IRES Track I:美国-芬兰关于云原生系统可持续发展和技术债务管理的研究
  • 批准号:
    2409933
  • 财政年份:
    2023
  • 资助金额:
    $ 28.83万
  • 项目类别:
    Standard Grant

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    青年科学基金项目
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    青年科学基金项目
医养结合机构服务模式对老年人健康绩效的影响、机制与引导政策:基于准自然实验的追踪研究
  • 批准号:
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基于量子电压动态追踪补偿的精密磁通测量方法研究
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  • 财政年份:
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  • 项目类别:
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  • 批准号:
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    2022
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IRES Track I: U.S.-Bangladesh collaboration to improve air quality: Application of low-cost sensor technologies and satellite remote sensing
IRES 第一轨:美国与孟加拉国合作改善空气质量:低成本传感器技术和卫星遥感的应用
  • 批准号:
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