A Machine Learning Approach for Quantifying the Design Error Propagation in Safety Critical Software System
Author:
Affiliation:
1. PESIT, Bangalore South Campus, Bangalore 560100, India
2. Alliance University, Bangalore 562106, India
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Computer Science Applications,Theoretical Computer Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/03772063.2019.1611490
Reference9 articles.
1. Basic concepts and taxonomy of dependable and secure computing
2. Reliability Validation and Improvement Framework
3. Empirical analysis of safety-critical anomalies during operations
4. A dynamic program analysis to find floating-point accuracy problems
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