CAREER: Improving Web Quality through an Integrated Approach
职业:通过综合方法提高网络质量
基本信息
- 批准号:0447715
- 负责人:
- 金额:$ 47.21万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2005
- 资助国家:美国
- 起止时间:2005-02-15 至 2011-01-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The project will develop a novel integrated approach for improvement of reliability, availability, security, and performance of Web-based systems. In order to handle the intrinsic complexity of Web-based systems, the proposed approach will be scalable and allow measurements and models with different level of details and abstraction to be combined together. The project will focus on the following lines of inquiry: Empirical characterization of reliability, availability, security, and performance attributes; Development of performance and reliability/availability models ; Combining multiple quality attributes based on clustering analysis and hierarchical modeling; Evaluation based on both real-life case studies, as well as on controlled experiments conducted in a test bed environment.What makes the proposed research unique and different from existing research work in the literature, in addition to addressing the fundamental limitations for quantitative assessment of each quality attribute treated in isolation, is the aspect of combining individual quality attributes within an integrated framework aimed at analyzing their interactions and tradeoffs.
该项目将开发一种新的综合方法,以提高基于Web的系统的可靠性、可用性、安全性和性能。为了处理基于Web的系统的内在复杂性,提出的方法将是可伸缩的,并允许具有不同细节和抽象级别的测量和模型组合在一起。该项目将集中于以下研究路线:可靠性、可用性、安全性和性能属性的经验表征;性能和可靠性/可用性模型的开发;基于聚类分析和分层建模的多种质量属性的组合;基于真实案例研究和在试验台环境中进行的受控实验的评估。除了解决对单独处理的每个质量属性进行定量评估的基本限制之外,本研究的独特之处在于将各个质量属性组合在一个综合框架内,旨在分析它们之间的相互作用和权衡。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Katerina Goseva-Popstojanova其他文献
GPTs are not the silver bullet: Performance and challenges of using GPTs for security bug report identification
GPT并非万能良药:使用GPT识别安全漏洞报告的性能与挑战
- DOI:
10.1016/j.infsof.2025.107778 - 发表时间:
2025-09-01 - 期刊:
- 影响因子:4.300
- 作者:
Horácio L. França;Katerina Goseva-Popstojanova;César Teixeira;Nuno Laranjeiro - 通讯作者:
Nuno Laranjeiro
Katerina Goseva-Popstojanova的其他文献
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{{ truncateString('Katerina Goseva-Popstojanova', 18)}}的其他基金
Attracting and Cultivating Cybersecurity Experts and Scholars through Scholarships
通过奖学金吸引和培养网络安全专家学者
- 批准号:
1930282 - 财政年份:2020
- 资助金额:
$ 47.21万 - 项目类别:
Standard Grant
SHF: Small: Collaborative Research: Evidence-based Reliability Assessment of Software Product Lines
SHF:小型:协作研究:软件产品线基于证据的可靠性评估
- 批准号:
0916284 - 财政年份:2009
- 资助金额:
$ 47.21万 - 项目类别:
Standard Grant
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