Data-Centric Safety: Challenges, Approaches, and Incident Investigation

ISBN-13: 9780128207901 / Angielski / Miękka / 2020 / 512 str.

Alastair Faulkner; Mark Nicholson

Recenzje

"A book that literally puts data where it should be - central to systems and systems thinking. The authors have created a comprehensive and detailed volume on the issues of data in systems. Many aspects are covered: some traditional areas, others new and developing (e.g. data in autonomous flight). It is a very wide-ranging book which describes data issues in lots of different contexts, in some cases this only touches on the problems but it provides lots of pointers and prompts for further thinking, including the concept of 'Scary Monsters' (open questions). There are some excellent colour diagrams which show the relationships between the data and other aspects of the systems under consideration. These help to make a complex topic more understandable. It is an academic reference work which includes copious definitions, abbreviations and references and provides a broad entry point into the world of Data Safety." -- Mike Parsons

Spis treści

I. Data-Centric Safety
1. Introduction
2. System Safety Management
3. Challenges to Systems Engineering

II. Data-Centric Fundamentals
4. Data Fundamentals
5. Data-Centric Systems
6. System Context
7. System Definition

III. Data-Centric Design
8. Data-Centric Architecture
9. Development
10. Acceptance and Approval

IV. Operational Management and Maintenance
11. Operational Matters
12. Live Management and Control

V. Incident Investigation
13. Major Incident Response
14. Investigation Management
15. DCI Investigation Methods
16. Incident Investigation
17. Investigation Methodology Maturity
18. Analysis as Part of a DCI
19. Incident Report

VI. Data Safety Model
20. Data Safety Model
21. Using the DSM
22. Validation

VII. Application Areas
23. Autonomous Flight
24. Enterprise
25. Healthcare

VIII. References