To automatically check whether a model of a system meets a given specification.
- Metodologías: Ergonomía, Gestión de riesgos
Comprobación de modelos

Comprobación de modelos
- Seguro de calidad, Control de calidad, Gestión de riesgos, Seguridad, Ingeniería de software, Pruebas de software, Lenguaje de modelado de sistemas (SysML), Validación, Verificación
Objetivo:
Cómo se utiliza:
- An automated technique for verifying the correctness of a hardware or software system. It explores all possible states of a system to check whether it satisfies a given property.
Ventajas
- Can find subtle errors that testing might miss; Can be fully automated.
Contras
- Can be computationally expensive and may not be feasible for large systems; Requires a formal model of the system.
Categorías:
- Ingeniería, Calidad
Ideal para:
- Verifying the correctness of safety-critical systems, such as a protocol for communication or a control system for a nuclear reactor.
Model Checking is widely applied in various domains such as telecommunications, automotive, aerospace, and medical devices, where system reliability and safety are paramount. In these industries, where failures can result in catastrophic consequences, the methodology can be employed during different phases of project development, including the design and verification stages, to ensure that specifications are met without ambiguity. Participants in this process typically include software engineers, hardware designers, and verification engineers who collaborate to define the properties that the system must satisfy. Examples include verifying communication protocols in network systems, ensuring that algorithms for automated vehicles adhere to safety constraints, or checking tratamiento de señales systems for correctness in safety-critical applications. The automated nature of Model Checking allows it to explore a comprehensive state space, identifying corner cases and edge situations that manual testing might overlook, thereby enhancing the reliability of the system. Tools such as Spin, NuSMV, and PRISM are specifically designed for these purposes, providing interfaces for model description and property specification, making them accessible to technical teams across different domains for effective verification. The adoption of Model Checking not only improves the assurance of system correctness but also reduces time-to-market by catching defects early in the development cycle.
Pasos clave de esta metodología
- Define the system model and abstraction level, ensuring it captures all relevant system behaviors.
- Specify the properties to be verified using temporal logic or other formal languages.
- Construct the state space representation of the system, including states, transitions, and variables.
- Apply model checking algorithms to explore the state space exhaustively.
- Check satisfaction of the specified properties against the state space.
- Identify and document any properties that are violated during the checking process.
- Iterate on the model and verification process to address identified issues and refine the system model.
Consejos profesionales
- Utilize counterexamples generated during model checking as a basis for refining system designs and detecting underlying specification issues.
- Implement abstraction techniques judiciously to manage state spaces while retaining important properties, balancing performance with verification completeness.
- Employ incremental model checking to verify system changes progressively, allowing for efficient detection of regressions without full re-evaluation of the entire system.
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