Jul 2026· Journal of Intelligent Decision Making and Information Science· 0 citations· 12 references
TL;DR
A formal verification framework that consists of a combination of specifications of temporal logic, model checking and modeling of service interactions graphs to study the behavior of the system and confirm the correctness properties is suggested.
Abstract
Microservices that are cloud-native allow distributed systems to scale, but present problems in assuring correctness, reliability, and fault resilience because of dynamic scaling and the complexity of service interactions. The presented paper suggests a formal verification framework that consists of a combination of specifications of temporal logic, model checking and modeling of service interactions graphs to study the behavior of the system and confirm the correctness properties. Service states, dependencies and scaling dynamics are modeled in a mathematical system. The framework identifies deadlocks, provides liveness and safety, and a framework of fault propagation between services. Experimental analysis shows that the accuracy of deadlock detection is increased to 96.7% and fault detection to 95.4% with 94.6% verification coverage and time of 96 ms to detect faults is minimized as compared to the conventional testing and monitoring methods in dynamic microservice settings.
This survey examines the sources, propagation mechanisms, and observable impacts of timing variability in microservice-based systems, using software-defined vehicles as a motivating example, and compares major classes of timing models by their assumptions about workload stability, execution structure, resource sharing,...
Cyrus K. Vattes, H. Mostafaei, N. Meratnia· 0 citations
Microservice-based systems evolve continuously through API changes, service splits and merges, dependency churn, and deployment-topology drift driven by DevOps practices. This rapid evolution erodes the assumptions encoded in formal models, test suites, and architectural descriptions, leaving practitioners with limited...
R. Gómez, Ebeid Elsayed, Enrique R. Zarate et al.· Software· 0 citations
An automated HCPN modeling method is proposed that transforms Netflix Conductor workflow specifications into hierarchical HCPN models using predefined rules and preserves workflow structure, control flow, and data dependencies, and generates models suitable for formal verification.
Guoshuai Li, Tao Sun, Wenjie Zhong· Conference on Applications,...· 0 citations
Fault-Weave designs an efficient fault space exploration technique which incrementally explores fault combinations up to a bounded depth, taking full advantage of previous fault injection results to speed up test execution and reduce redundant test scenarios.
This paper explores the integration of Spring Boot with containerization and observability, focusing on best practices, architectural patterns, and challenges, and delves into containerization strategies using Docker and orchestration with Kubernetes, emphasizing their roles in deployment and scalability.
Youssef- Al-Habib, Omar Sullaiman· International Journal of Art...· 1 citation
This work has developed an approach that formalises certification processes, by translating them in the language of the Prism model-checker and uses Prism to verify properties of interest on the model of the certi-fication process, under specific environmental assumptions.
Maria Krotsiani, C. Kloukinas, G. Spanoudakis· 0 citations
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