Formal Modeling of Evolving Systems using Petrinets Based Vocabulary
Year: 2024
Type: article
Abstract: In this research we proposed a Petri nets-based vocabulary for the development of self-adap-tive systems. Self-adaptive systems (SAS) are systems that undergo dynamicity by reconfiguring their behaviors in accordance with the system needs for execution of programs. Self-adaptation has become a building block for developing computer systems as it makes systems work with higher precision, validity reliability with minimal human effort. The idea behind self-adaptation is to enable systems to overcome runtime issues with no or minimal human intervention. SAS consists of two subsystems, a managed system and a self-adaptive system that works as feedback loop. In our approach we used MAPE-K feedback loop that comprises components monitor, analyze, plan, execute and knowledge to perform self-adaptation. Formal verification of self-adaptive systems can be done by specifying actions to be performed by evolving systems. A model is proposed to formally express self-adaptive systems. For Formal specification of Evolving systems, we have used Linear Temporal Logic (LTL) for the formal-ism as LTL provides a high level of understandability with less ambiguous nature. Verification of system properties have been done using SPIN model checker environment.
Authors: Awais Raza Zaidi, Syed Asad Raza Kazmi, Muhammad Zafar Iqbal Karmani, ALLAH Ditta
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4402013421