Formal Dependability Modeling and Analysis: A Survey
June 22, 2016 ยท The Cartographer ยท ๐ International Conference on Intelligent Computer Mathematics
"No code URL or promise found in abstract"
"Title-pattern auto-detect: Formal Dependability Modeling and Analysis: A Survey"
Evidence collected by the PWNC Scanner
Authors
Waqar Ahmed, Osman Hasan, Sofiene Tahar
arXiv ID
1606.06877
Category
cs.SE: Software Engineering
Cross-listed
cs.LO,
math.LO
Citations
15
Venue
International Conference on Intelligent Computer Mathematics
Last Checked
2 days ago
Abstract
Dependability is an umbrella concept that subsumes many key properties about a system, including reliability, maintainability, safety, availability, confidentiality, and integrity. Various dependability modeling techniques have been developed to effectively capture the failure characteristics of systems over time. Traditionally, dependability models are analyzed using paper-and-pencil proof methods and computer based simulation tools but their results cannot be trusted due to their inherent inaccuracy limitations. The recent developments in probabilistic analysis support using formal methods have enabled the possibility of accurate and rigorous dependability analysis. Thus, the usage of formal methods for dependability analysis is widely advocated for safety-critical domains, such as transportation, aerospace and health. Given the complementary strengths of mainstream formal methods, like theorem proving and model checking, and the variety of dependability models judging the most suitable formal technique for a given dependability model is not a straightforward task. In this paper, we present a comprehensive review of existing formal dependability analysis techniques along with their pros and cons for handling a particular dependability model.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
๐ Similar Papers
In the same crypt โ Software Engineering
R.I.P.
๐ป
Ghosted
R.I.P.
๐ป
Ghosted
Microservices: yesterday, today, and tomorrow
๐
๐
The Cartographer
A Survey of Machine Learning for Big Code and Naturalness
R.I.P.
๐ป
Ghosted
An Overview on Smart Contracts: Challenges, Advances and Platforms
R.I.P.
๐ป
Ghosted
Slither: A Static Analysis Framework For Smart Contracts
R.I.P.
๐ป
Ghosted