Author Description

Every computing system has two, and only two attributes: Data Value and Data timing, which represent fully the system functionalities from the system external behavior point of view.The data driven system engineering is the approach to develop the system by focusing on the two attributes mentioned above, in which, the data values are derived by the system operation concept design, and the data timing is derived by the system latency design. Based on which, this book provides a full range of system and software engineering development activities: Requirement Elicitation Requirement Engineering System and Software Architecture Design System Operation Concept Design System and Software Structure Design Electronic Architect Design Functionality Allocation Failure Mode and Effect Analysis (FMEA) Safety Cybersecurity System and software Verification System and Software Integration and Verification System and Software Black Box VerificationEach of which has its own clearly defined scope and approach, which is different from the conventional development, in some cases even different from some ISO standards, for example: about the safety development in this book, the safety requirements for every part in a vehicle are cascaded from the vehicle safety requirements, which is different from the Concept Phase in the Part 3 of ISO 26262; about the error prevention in this book, there are only two types of errors to be detected in a computing system: Data Value error and Data Timing error.