CAREER: Software Reliability and Security Risk Assessment: Modeling and Algorithms

职业：软件可靠性和安全风险评估：建模和算法

• 批准号: 1749635
• 负责人: Lance Fiondella
• 金额: $ 45.25万
• 依托单位: University of Massachusetts, Dartmouth
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1749635&HistoricalAwards=false
• 关键词: CAREER; Software; Reliability; Security; Risk

Consistent growth in the software sector of the US and world economies is a driving force for global prosperity and stability in the form of trillions of dollars in revenue and millions of rewarding careers. The spread of computing has increased society's dependence on reliable and secure software to ensure national security and system safety. Producing reliable and secure software is difficult because of its growing complexity, which poses serious challenges to many large companies and government organizations. Quantitative models to assess software reliability and security can assist organizations to deliver software systems on time and within budget.Intellectual merits related to the science of software reliability and security risk management include: multi-stage models to guide software acquisition and integration, multi-phase algorithms that combine numerical techniques to enhance the performance of model-fitting procedures without compromising stability, and an open source application to automatically apply software reliability methods, strengthen collaboration within the international research community, and promote education and dialogue between the research and practitioner communities. The open source application will crowdsource the contribution of models and algorithms, establishing a common platform for participants to implement results, hybridize modeling, and conduct algorithmic research.Multi-stage models will be applicable to scientific phenomenon and engineering activities that are too complex to accurately characterize with standard methods from probability. Multi-phase algorithms will be applicable to model-fitting in the many areas to which statistics is applied. The open source tool possesses the potential to hybridize results from the past 40 years as well as future discoveries, providing insight on how to leverage the international research community. The open architecture will provide a medium for collaboration and rapid research transition in a format that is immediately usable by the intended audience. The open source project is hosted through an Educator account of the GitHub online service (https://github.com/LanceFiondella/srt.core), including sample input data sets for the models developed, the source code of the open source tool, and educational materials. The major research findings will be published in open access journals and also made accessible on the project web site (https://sasdlc.org/lab/projects/srt.html). The project repository will be maintained as long as GitHub educator accounts remain a free online service.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.

美国和世界经济软件行业的持续增长是全球繁荣和稳定的推动力，其形式是数万亿美元的收入和数百万有价值的职业。计算的普及增加了社会对可靠和安全软件的依赖，以确保国家安全和系统安全。生产可靠和安全的软件是困难的，因为它的复杂性越来越大，这对许多大公司和政府组织构成了严重的挑战。评估软件可靠性和安全性的定量模型可以帮助组织按时并在预算内交付软件系统。与软件可靠性和安全风险管理科学相关的知识价值包括：指导软件采集和集成的多阶段模型，结合联合收割机数值技术以增强模型拟合程序性能而不影响稳定性的多阶段算法，和一个开源应用程序，以自动应用软件可靠性方法，加强国际研究界的合作，并促进研究和从业者社区之间的教育和对话。该开源应用程序将众包模型和算法的贡献，为参与者建立一个共同的平台，以实现结果，混合建模和进行算法研究。多阶段模型将适用于过于复杂的科学现象和工程活动，这些科学现象和工程活动无法从概率的标准方法准确描述。多阶段算法将适用于统计学应用的许多领域中的模型拟合。该开源工具具有混合过去40年的结果以及未来发现的潜力，为如何利用国际研究界提供了见解。开放架构将以目标受众立即可用的格式提供协作和快速研究过渡的媒介。该开源项目通过GitHub在线服务的Educator帐户（https：//github.com/LanceFiondella/srt.core）托管，包括所开发模型的样本输入数据集、开源工具的源代码和教育材料。主要研究成果将在开放获取期刊上发表，也可在项目网站上查阅（https：//sasdlc.org/lab/projects/srt.html）。只要GitHub教育者账户仍然是免费的在线服务，项目存储库将一直保留。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Online Optimal Release Time for Non-homogeneous Poisson Process Software Reliability Growth Model

非齐次泊松过程软件可靠性增长模型在线最优发布时间

• DOI: 10.1109/rams48030.2020.9153699
• 发表时间: 2020
• 期刊: Annual Reliability and Maintainability Symposium (RAMS 2020
• 作者: Nagaraju, Vidhyashree;Fiondella, Lance
• 通讯作者: Fiondella, Lance

A Covariate Software Reliability Model and Optimal Test Activity Allocation

协变量软件可靠性模型和最优测试活动分配

• DOI: 10.1016/j.jss.2020.110643
• 发表时间: 2021
• 期刊: International Conference on Reliability and Quality in Design
• 作者: Nagaraju, V.;Jayasinghe, C.;and Fiondella, L.
• 通讯作者: and Fiondella, L.

Optimal Release Policy for Covariate Software Reliability Models

协变量软件可靠性模型的最优发布策略

• DOI: 10.1109/rams51473.2023.10088282
• 发表时间: 2023
• 期刊: Annual Reliability and Maintainability Symposium
• 作者: Yawlui, Ebenezer;Silva, Priscila;Nagaraju, Vidhyashree;Fiondella, Lance
• 通讯作者: Fiondella, Lance

A heterogeneous single changepoint software reliability growth model framework

• DOI: 10.1002/stvr.1717
• 发表时间: 2019-12-01
• 期刊: SOFTWARE TESTING VERIFICATION & RELIABILITY
• 影响因子: 1.5
• 作者: Nagaraju, Vidhyashree;Fiondella, Lance;Wandji, Thierry
• 通讯作者: Wandji, Thierry

Connecting Software Reliability Growth Models to Software Defect Tracking

将软件可靠性增长模型与软件缺陷跟踪联系起来

• DOI: 10.1109/issre5003.2020.00022
• 发表时间: 2020
• 期刊: 2020 IEEE 31st International Symposium on Software Reliability Engineering (ISSRE
• 作者: Nafreen, Maskura;Luperon, Melanie;Fiondella, Lance;Nagaraju, Vidhyashree;Shi, Ying;Wandji, Thierry
• 通讯作者: Wandji, Thierry