A distributed alternative to finite-state-machine specifications
ACM Transactions on Programming Languages and Systems (TOPLAS)
Statecharts: A visual formalism for complex systems
Science of Computer Programming
Tentative steps toward a development method for interfering programs
ACM Transactions on Programming Languages and Systems (TOPLAS)
STATEMATE: A Working Environment for the Development of Complex Reactive Systems
IEEE Transactions on Software Engineering
Object-oriented reuse, concurrency and distribution: an ADA-based approach
Object-oriented reuse, concurrency and distribution: an ADA-based approach
Introducing Objectcharts or How to Use Statecharts in Object-Oriented Design
IEEE Transactions on Software Engineering
Requirements Specification for Process-Control Systems
IEEE Transactions on Software Engineering
Structuring Z specifications with views
ACM Transactions on Software Engineering and Methodology (TOSEM)
ACM SIGSOFT Software Engineering Notes
A Theory of Interfaces and Modules - I: Composition Theorem
IEEE Transactions on Software Engineering
Proving refinement transformations for deriving high-assurance software
HASE '96 Proceedings of the 1996 High-Assurance Systems Engineering Workshop
Hi-index | 0.00 |
The failure of safety-critical systems, such as aircraft control systems, railway control systems, and nuclear power plant control systems, can cause catastrophic losses of life and property. Hence, it is imperative to assure the reliability and safety of these systems to a very high degree of confidence. It is infeasible to perform this type of ultrahigh reliability analysis by treating the entire system as one unit. This paper develops an approach that combines relational programs with iterative enhancement. It allows a complex system to be divided into a series of increments such that each increment is decomposed into subsystems taht can be independently assessed. An increment is related to the previous increment via transformations or clearly delineated enhancements that can be assessed independently. The subsystems are then automatically composed together to obtain the system. The approach guarantees that the reliability and safety of the system can be inferred from the corresponding properties of the individual subsystems. It is illustrated using a case study drawn from the Bay Area Rapid Transit system project.