RACK: A Semantic Model and Triplestore for Curation of Assurance Case Evidence

RACK: A Semantic Model and Triplestore for Curation of Assurance Case Evidence

Author
Abstract

"Certification of large systems requires reasoning over complex, diverse evidential datasets to determine whether its software is fit for purpose. This requires a detailed understanding of the meaning of that data, the context in which it is valid, and the uses to which it may reasonably be put. Unfortunately, current practices for assuring software safety do not scale to accommodate modern Department of Defense (DoD) systems, resulting in unfavorable behaviors such as putting off fixes to defects until the risk of not mitigating them outweighs the high cost of re-certification. In this work, we describe a novel data curation system, RACK, that addresses cost-effective, scalable curation of diverse certification evidence to facilitate the construction of an assurance case."

Year of Publication
2023
Conference Name
"Computer Safety, Reliability, and Security. SAFECOMP 2023 Workshops"
Publisher
"Springer Nature Switzerland"
Conference Location
"Cham"
ISBN Number
"978-3-031-40953-0"
DOI
10.1007/978-3-031-40953-0_13
Google Scholar | BibTeX | DOI
Feedback
Feedback
If you experience a bug or would like to see an addition on the current page, feel free to leave us a message.
Image CAPTCHA
Enter the characters shown in the image.
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.