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Automated Validation Verification of UML/OCL Models Using Satisfiability Solvers

Patrick Rothfuss

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Published in 1st Ed 2018 Edition Kindle Edition

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The Unified Modeling Language (UML) is a widely used modeling language for software development. The Object Constraint Language (OCL) is a formal language for specifying constraints on UML models. Together, UML and OCL provide a powerful framework for modeling and specifying software systems.

Automated Validation & Verification of UML/OCL Models Using Satisfiability Solvers

5 out of 5

Language	:	English
File size	:	17918 KB
Text-to-Speech	:	Enabled
Enhanced typesetting	:	Enabled
Print length	:	267 pages

However, ensuring that UML/OCL models are correct and consistent is a challenging task. Manual validation and verification of models is time-consuming and error-prone. Automated techniques are needed to help modelers identify and correct errors in their models.

Satisfiability solvers are powerful tools that can be used to automatically check the satisfiability of Boolean formulas. This makes them well-suited for the automated validation and verification of UML/OCL models.

Book Overview

This book provides a comprehensive and systematic approach to the automated validation and verification of UML/OCL models using satisfiability solvers. It covers the following topics:

An overview of UML and OCL
A formal semantics for UML/OCL
Techniques for translating UML/OCL models into Boolean formulas
Algorithms for checking the satisfiability of Boolean formulas
Applications of automated validation and verification to real-world modeling projects

The book is written in a clear and concise style, and it is suitable for readers with a basic understanding of UML and OCL. It is also a valuable resource for researchers and practitioners in the field of software engineering.

Benefits of Using Satisfiability Solvers for UML/OCL Validation and Verification

There are many benefits to using satisfiability solvers for the automated validation and verification of UML/OCL models. These benefits include:

Accuracy: Satisfiability solvers are highly accurate, and they can be used to identify errors in models that would be difficult to find manually.
Efficiency: Satisfiability solvers are efficient, and they can check the satisfiability of large models in a matter of seconds.
Scalability: Satisfiability solvers are scalable, and they can be used to check the satisfiability of models of any size.
Generality: Satisfiability solvers are general-purpose tools, and they can be used to check the satisfiability of models in any domain.

Automated validation and verification of UML/OCL models is a critical task for ensuring the correctness and consistency of software systems. Satisfiability solvers are powerful tools that can be used to automate this task. This book provides a comprehensive and systematic approach to the automated validation and verification of UML/OCL models using satisfiability solvers. It is a valuable resource for researchers and practitioners in the field of software engineering.