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A Random Walk-Based Pattern-Matching Simulator for Verification of Incomplete Markov Models in Self-Adaptive Systems

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Self-adaptive-pattern-matching

A pattern generator and pattern-matching system for self-adaptive solar energy harvesting systems.

The project includes two branches:

1- Self-adaptive pattern generator that simulates the behavior of solar energy harvesting system according to the changes imposed from the environment.

2- Self-adaptive pattern matching system that matches incomplete models with the previously generated patterns of the self-adaptive system. Finally, it estimates the unknown parameters of the system if need be.

Technical Specifications

The project is written by JAVA programming language and developed by Netbeans IDE. We have applied the proposed system to a case study about self-adaptive solar energy harvesting system. Formal models of the case study is placed in "Models" directory that is developed in PRISM probabilistic model-checker including the local system and the environment formal models.

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A Random Walk-Based Pattern-Matching Simulator for Verification of Incomplete Markov Models in Self-Adaptive Systems

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