Collaborative Research: DASS: Accountable Software Systems for Safety-Critical Applications
Collaborative Research: DASS: Accountable Software Systems for Safety-Critical Applications
批准号:
2131511
负责人:
Lu Feng
金额:
$37.49万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-10-01 至 2024-09-30
中文摘要
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英文摘要
Safety-critical software systems are entering the market in large numbers and are expected to transform many industries including healthcare, transportation, manufacturing, and others. In response to the rising societal impact and complexity of software systems, lawmakers and regulatory authorities are implementing new laws, regulations, and guidelines to hold software accountable for its harmful effects. These legal approaches differ across jurisdictions and across application domains, and they will evolve over time as lawmakers and regulators continue to study and address emerging software capabilities. Despite this mounting regulatory pressure, state-of-the-art software-design methodologies are deficient at providing the desired accountability in safety-critical systems. The project’s novelties are twofold: (1) developing principled approaches and tools for assuring and demonstrating accountability of safety-critical software systems with respect to laws and regulations that evolve over time, and (2) advancing a legal framework that harmonizes regulatory oversight of software systems across heterogeneous safety-critical domains. The project’s impacts are facilitating the design of safety-critical software systems that are accountable with respect to various regulations, and providing legal insight on how to extend or amend current regulatory approaches to enhance software accountability. In addition, the investigators will organize a series of interdisciplinary workshops and symposiums to bring together experts in software design and law to discuss open research questions and potential solutions to software accountability. The investigators also plan to develop new course materials in computer science and law to integrate the proposed research outcomes, and actively recruit underrepresented students for positions in the proposed project.The project includes three research thrusts that seek to make fundamental contributions to both software design and law. The first thrust creates novel approaches and tools for developing compositional dynamic assurance cases throughout the software development lifecycle to assure and demonstrate accountability. The second thrust develops novel formal-verification techniques for generating provable and certifiable regulation compliance guarantees, which can be used as evidence in assurance cases. The third thrust develops legal insight on how lawmakers and regulators should extend or amend current regulatory approaches to incorporate advances in software accountability methods.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.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
Towards Developing Safety Assurance Cases for Learning-Enabled Medical Cyber-Physical Systems
为学习型医疗网络物理系统开发安全保证案例
DOI:
--
发表时间:
2023
期刊:
Proceedings of the Workshop on Artificial Intelligence Safety 2023 (SafeAI 2023
影响因子:
--
作者:
[Maryam Bagheri, Josephine Lamp, Xugui Zhou, Lu Feng, Homa Alemzadeh]
通讯作者:
Homa Alemzadeh
CAREER: Formal Methods for Human-Cyber-Physical Systems
-
批准号:1942836
-
项目类别:Continuing Grant
-
资助金额:$77.04万
-
财政年份:2020
-
负责人:Lu Feng
-
依托单位:
CRII: CPS: Cognitive Trust in Human-Autonomous Vehicle Interactions
-
批准号:1755784
-
项目类别:Standard Grant
-
资助金额:$17.5万
-
财政年份:2018
-
负责人:Lu Feng
-
依托单位:
Verification Mentoring Workshop IV
-
批准号:1824604
-
项目类别:Standard Grant
-
资助金额:$3.08万
-
财政年份:2018
-
负责人:Lu Feng
-
依托单位:
CPS: Medium: Safety-Critical Wireless Mobile Systems
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批准号:1739333
-
项目类别:Standard Grant
-
资助金额:$80.0万
-
财政年份:2017
-
负责人:Lu Feng
-
依托单位:
国内基金
海外基金
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