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The SOFTWARE SYSTEM is software safety class A if: the SOFTWARE SYSTEM cannot contribute to a HAZARDOUS SITUATION; or; the SOFTWARE SYSTEM can contribute to a HAZARDOUS SITUATION which does not result in unacceptable RISK after consideration of RISK CONTROL measures external to the SOFTWARE SYSTEM. The SOFTWARE SYSTEM is software safety class B if:
An example is a checking or confirmation function such as an "Are you sure" dialog box with the harmless option preselected in computer software for an action that could have severe consequences if made in error, such as deleting or overwriting files (although the consequence of inadvertent file deletion has been reduced from the DOS days by a ...
The need to control software fault is one of the most rising challenges facing software industries today. Fault tolerance must be a key consideration in the early stage of software development. There exist different mechanisms for software fault tolerance, among which: Recovery blocks; N-version software; Self-checking software
In software architecture, these attributed are known as "architectural characteristic" or non-functional requirements. Note that it's software architects' responsibility to match these attributes with business requirements and user requirements. Note that synchronous communication between software architectural components, entangles them and ...
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Application risks relate to system performance and capacity. Information asset risks concern the potential loss or unauthorized disclosure of data. Business continuity risks focus on maintaining system reliability and uptime. Outsourcing risks involve the impact of third-party service providers on the system. [14]
Factor analysis of information risk (FAIR) is a taxonomy of the factors that contribute to risk and how they affect each other. It is primarily concerned with establishing accurate probabilities for the frequency and magnitude of data loss events. It is not a methodology for performing an enterprise (or individual) risk assessment. [1]
Every request received by a non-failing node in the system must result in a response. This is the definition of availability in CAP theorem as defined by Gilbert and Lynch. [1] Note that availability as defined in CAP theorem is different from high availability in software architecture. [5] Partition tolerance