Static Analysis Framework Based on Multi - Agent System
Haissam Badih, Yasamin Hamza Alagrash · 2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) · 2020
The progress of the methodology of static analysis has recently been rapidly consistent. Advancement is gradually attracting debugging and detailed programs by applying the intelligent approach to static analytical techniques. This paper introduces a novel framework for static analysis techniques based on a multi-agent system. The work investigates an innovative approach for multiple static analysis methods in an intelligent way under a distributed environment. To verify the proposed framework, we implement the traditional method of static analysis based on multi-agent services and determines a head track for autonomous and efficient static analysis techniques. Our approach has used agent characteristics in a multi-agent context. All agent services communicate with one another, adjustments were made to the environment of the agent, various restrictions were applied, and the systems' effects were calculated. In order to demonstrate the respective method's strengths and weaknesses, each system has been analyzed using several performance metrics. This paper develops multiple static analysis is applied to enhanced system reliability and scalability. Theses provide server-side static analyzes. Our solution shows high performance within a reasonable time duration.