ABZ '08 Proceedings of the 1st international conference on Abstract State Machines, B and Z
A Method for Verifiable and Validatable Business Process Modeling
Advances in Software Engineering
Coupling design and verification in software product lines
FoIKS'08 Proceedings of the 5th international conference on Foundations of information and knowledge systems
The CoreASM modeling framework
Software—Practice & Experience
A formal engineering approach to high-level design of situation analysis decision support systems
ICFEM'11 Proceedings of the 13th international conference on Formal methods and software engineering
The subject-oriented approach to software design and the abstract state machines method
Conceptual Modelling and Its Theoretical Foundations
Approaches to modeling business processes: a critical analysis of BPMN, workflow patterns and YAWL
Software and Systems Modeling (SoSyM)
Refactoring abstract state machine models
ABZ'12 Proceedings of the Third international conference on Abstract State Machines, Alloy, B, VDM, and Z
BICS'13 Proceedings of the 6th international conference on Advances in Brain Inspired Cognitive Systems
Executable formal specifications of complex distributed systems with CoreASM
Science of Computer Programming
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We explain why for the verified software challenge proposed in Hoare (J ACM 50(1): 63–69, 2003), Hoare and Misra (Verified software: theories, tools, experiments. Vision of a Grand Challenge project. In: [Meyer05]) to gain practical impact, one needs to include rigorous definitions and analysis, prior to code development and comprising both experimental validation and mathematical verification, of ground models, i.e., blueprints that describe the required application-content of programs. This implies the need to link via successive refinements the relevant properties of such high-level models in a traceable and checkable way to code a compiler can verify. We outline the Abstract State Machines (ASM) method, a discipline for reliable system development which allows one to bridge the gap between informal requirements and executable code by combining application-centric experimentally validatable system modelling with mathematically verifiable stepwise detailing of abstract models to compile-time-verifiable code.