This paper introduces a user-friendly tool designed to simplify smart contract analysis through a microservice architecture implemented in Golang and Flutter. The system combines four primary components: a Codec for contract encoding/decoding, an Auditor powered by Slither for security assessment, a Database for version control, and an AI Assistant leveraging gpt-3.5-turbo from OpenAI for automated annotations. User interaction is facilitated through UML-based visual representations that allow intuitive comprehension of the smart contract implementation. An evaluation through the NASA-TLX questionnaire demonstrated that the proposed tool could significantly reduce the overall workload (52.62 versus 71.74) compared to Remix IDE, with notable improvements in mental demand, temporal demand, and frustration levels.

Monitoring business processes within complex supply chains demands efficient data collection and analytics tailored to diverse phenomena. Traditional centralized solutions face limitations in adapting to the dynamic nature of supply chains. This calls for distributed solutions which break the usual architectural assumption to have a central entity in charge of collecting, integrating and offering tools for the analysis. This project, embedded in a larger initiative called MICS, proposes an inno-vative distributed monitoring solution integrating blockchain for a trustworthy and efficient data analytics strategy that preserves data sovereignty in complex collaborative environments. Leveraging the cloud -edge continuum, the solution aims to ensure secure data exchange, adherence to agreements, and real-time analytics. Expected outcomes include an innovative federated architecture, 5G slice management solutions, an adversarial analysis of supply chain security, and a proof-of-concept implementation of the blockchain-based data flow tracking system. These developments aim to enhance the reliability, security, and efficiency of supply chain monitoring in dynamic industrial environments.