CRII: CPS: Minimizing the Oracle Problem for Self-Adaptive Cyber-Physical Systems
CRII: CPS: Minimizing the Oracle Problem for Self-Adaptive Cyber-Physical Systems
批准号:
1657061
负责人:
Erik Fredericks
金额:
$16.36万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-05-01 至 2020-04-30
中文摘要
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英文摘要
This project investigates how to ensure that self-adaptive cyber-physical systems (SA-CPS) function correctly as they execute. An SA-CPS can reconfigure itself, at run time, to mitigate unforeseen circumstances, where an example SA-CPS is an autonomous vehicle that reacts to unexpected road conditions by automatically adjusting its driving strategy to avoid an icy patch. Therefore, the system must be tested to ensure that it operates correctly following a reconfiguration. This project will provide techniques for ensuring that verification and validation strategies for an SA-CPS have been derived correctly and that any future adaptations are correct with respect to its original requirements. This research will enhance assurance for SA-CPSs by providing test oracles (i.e., software that determines if a test passes or fails) that adapt alongside an executing system; verifying and validating adaptive test oracles at design time and run time; and providing traceability between adaptive oracles and software requirements. Together, these three points will ensure that both test cases and oracles can effectively validate a running system throughout its lifetime. This work will be demonstrated on real hardware to show that together, software verification and validation can enhance system assurance as well as public perception and trust in SA-CPSs.This project will ensure that software test oracles are verified and validated to ensure that any software validation activities are being correctly performed on SA-CPS. The knowledge gained from this project will be published in highly-regarded conferences/journals and all artifacts and results released to GitHub and NSF's CPS Virtual Organization (CPS-VO). Information will also be shared publicly through a series of blog posts intended to educate the public on CPSs. This project will also train graduate students, results will be presented in a graduate class on CPS, and distilled into summer camps to introduce K-12 students to embedded programming.
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Towards Traceability Link Recovery for Self-Adaptive Systems
实现自适应系统的可追溯性链路恢复
DOI:
--
发表时间:
2018
期刊:
Association for the Advancement of Artificial Intelligence Workshops (AAAI-W
影响因子:
--
作者:
[Hariri, Reihaneh H., Fredericks, Erik M.]
通讯作者:
Fredericks, Erik M.
Automated Optimization of Weighted Non-functional Objectives in Self-adaptive Systems
自适应系统中加权非功能目标的自动优化
DOI:
--
发表时间:
2018
期刊:
Proceedings of the 10th Symposium on Search-Based Software Engineering (SSBSE
影响因子:
--
作者:
[Bowers, Kate M., Fredericks, Erik M., Cheng, Betty H.]
通讯作者:
Cheng, Betty H.
DOI:
10.1016/j.jss.2019.110497
发表时间:
2020-04-01
期刊:
JOURNAL OF SYSTEMS AND SOFTWARE
影响因子:
3.5
作者:
[Bowers, Kate M., Fredericks, Erik M., Cheng, Betty H. C.]
通讯作者:
Cheng, Betty H. C.
On Incorporating Search-Based Heuristics into Real-World Systems
将基于搜索的启发式方法融入现实世界系统
DOI:
--
发表时间:
2019
期刊:
12th Intl. Workshop on Search-Based Software Testing
影响因子:
--
作者:
[Fredericks, Erik M., Bowers, Kate M., Hariri, Reihaneh H.]
通讯作者:
Hariri, Reihaneh H.
DOI:
10.1186/s40537-019-0206-3
发表时间:
2019-06-04
期刊:
JOURNAL OF BIG DATA
影响因子:
8.1
作者:
[Hariri, Reihaneh H., Fredericks, Erik M., Bowers, Kate M.]
通讯作者:
Bowers, Kate M.
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