A safety- or life-critical system is a system whose failure or malfunction may result in one (or more) of the following outcomes:
- death or serious injury to people
 - loss or severe damage to equipment/property
 - environmental harm
 
Quoted from Wikipedia/Safety-critical system
Safety means:
- protected from harm or other danger
 - in control of recognized or accepted dangers or hazards
 - achieve an acceptable level of risk
 
Quoted from Wikipedia/Safety
Capability of a product under defined conditions to avoid a state in which human life, health, property, or the environment is endangered.
Typical Acceptance Criteria
Scenario Response Measures from [Bass et al.]
- Amount or percentage of unsafe states that are avoided
 - Amount or percentage of unsafe states from which the system can (automatically) recover
 - Change in risk exposure: size(loss) * prob(loss)
 - Percentage of times the system can recover
 - Amount of time the system is in a degraded or safe mode
 - Amount or percentage of time the system is shut down
 - Elapsed time to enter and recover (from manual operation, from a safe or degraded mode)
 
What Stakeholders mean by safe
| Stakeholder | (potential) Expectation for safe | 
|---|---|
| User | * using the system will never cause any risk to my health * it is not possible to injure myself accidentally by using the system  | 
    
| Management | * minimal risk of any liability lawsuit * no person will ever get hurt when using or maintaining our system * the system poses no risk or danger to any humans’ health * the system poses no risk to the environment  | 
    
| Developer | development processes comply with appropriate safety standards and regulations, e.g. SPICE | 
| Tester | - | 
| Admin | - | 
| Domain-Expert | the system and its implementation comply with all required safety standards, like ISO-26262 | 
| Others | Safety auditors, government agencies requiring compliance with safety standards, law | 
Qualities tagged with #safe
Requirements tagged with #safe
- Service Circuit Breakers and Graceful Degradation
 - Content Moderation Fairness
 - Credit Scoring Fairness
 - Facial Recognition Bias Mitigation
 - Global Explainability
 - Severe errors are detected and the system shuts down into safe state
 - Backup patient monitoring sensor takes over
 - Local Explainability
 - Patient Data Quality in Healthcare System
 - Protect Data by Establishing Security Protocols
 - Reliable ERH System
 - Reliable Backup and Restore
 - Replication and Quorum Reads/Writes