Formal Software Development with Event-B
A Practical Guide to Modelling, Refinement, and Verification
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Beschreibung
This Second Edition presents a practical framework for software development based on Event-B and refinement calculus, showing how formal models can be systematically transformed into verified executable programs. The book guides readers through the complete development process, from the formalisation of software requirements to model refinement, proof discharge, code synthesis, and implementation validation. The text introduces the Event-B method and its supporting tool ecosystem and demonstrates how refinement-based modelling can be used to construct reliable software systems incrementally. Particular emphasis is placed on the systematic derivation of Java implementations through automated code generation, together with the verification of sequential programs using the newly introduced PyEB framework in Python. Using a series of detailed case studies, the book illustrates how mathematical modelling techniques reduce ambiguity in requirements, support correctness-by-construction development, and provide rigorous reasoning about program behaviour throughout the software lifecycle.
In addition, this book:
- Demonstrates how mathematics can be used to model, refine, and verify software unambiguously
- Provides an updated end-to-end view of Event-B software development from requirements to verified code
- Includes novel tool support for Event-B in Python, which is particularly suited for machine learning applications
This Second Edition presents a practical framework for software development based on Event-B and refinement calculus, showing how formal models can be systematically transformed into verified executable programs. The book guides readers through the complete development process, from the formalisation of software requirements to model refinement, proof discharge, code synthesis, and implementation validation. The text introduces the Event-B method and its supporting tool ecosystem and demonstrates how refinement-based modelling can be used to construct reliable software systems incrementally. Particular emphasis is placed on the systematic derivation of Java implementations through automated code generation, together with the verification of sequential programs using the newly introduced PyEB framework in Python. Using a series of detailed case studies, the book illustrates how mathematical modelling techniques reduce ambiguity in requirements, support correctness-by-construction development, and provide rigorous reasoning about program behaviour throughout the software lifecycle.
Demonstrates how mathematics can be used to model, refine, and verify software unambiguously Provides an updated end-to-end view of Event-B software development from requirements to verified code Includes novel tool support for Event-B in Python, which is particularly suited for machine learning applications
Autor*in
Nestor Catano
Themen in »Formal Software Development with Event-B«
Event-B Formal Methods Refinement Calculus Sequential Program Development Modeling