A DESIGN SCIENCE APPROACH TO MITIGATING INTER-SERVICE INTEGRATION FAILURES IN MICROSERVICE ARCHITECTURES: THE CONSUMER-DRIVEN CONTRACT TESTING FRAMEWORK AND PILOT IMPLEMENTATION
Abstract
Purpose: Microservice Architectures (MSA) enhance agility but introduce significant complexity in managing inter-service communication and mitigating integration failures, often rendering traditional End-to-End (E2E) testing impractical. This study aims to propose, implement, and evaluate a formal Consumer-Driven Contract Testing (CDCT) framework as a superior quality assurance strategy for distributed systems.
Design/Methodology/Approach: A Design Science Research (DSR) approach was employed to develop the CDCT framework artifact, which supports both REST and gRPC protocols. A pilot implementation was deployed within a Continuous Integration/Continuous Delivery (CI/CD) pipeline on a representative microservice topology. The framework’s efficacy was quantitatively evaluated by measuring key quality assurance metrics: Time to Feedback (TTF) on induced breaking changes, Integration Fault Isolation (IFI), and the impact on a Deployment Confidence Index (DCI), comparing results against an E2E testing baseline.
Findings: The CDCT framework demonstrated a substantial reduction in TTF, allowing developers to detect integration faults orders of magnitude faster and at an earlier stage in the development lifecycle. The IFI metric confirmed that CDCT precisely isolates breaking changes to the consumer-provider contract, significantly reducing debugging effort. The unified approach to REST and gRPC validation confirmed the framework’s technological versatility. The framework effectively facilitates independent deployment, a core tenet of MSA, by providing a high DCI.
Originality/Value: This research delivers a validated, formal CDCT framework that extends coverage to heterogeneous communication protocols (REST/gRPC) and provides quantitative empirical evidence for its superiority over conventional integration testing in an MSA context.
Keywords
References
Similar Articles
- Hiroshi Tanaka, Architectural Synergies: Integrating Blockchain, Fog Computing, And Generative Intelligence for Secure Digital Twin Ecosystems in Cyber-Physical Systems , International Journal of Modern Computer Science and IT Innovations: Vol. 3 No. 02 (2026): Volume 03 Issue 02
- Priya Kapoor, A Comprehensive Analytical Framework for Zero Trust Architecture: Evolutionary Paradigms, Socio-Technical Adoption, and Integrative Security in Heterogeneous Network Environments , International Journal of Modern Computer Science and IT Innovations: Vol. 2 No. 09 (2025): Volume 02 Issue 09
- Dr. Elena R. Moretti, Intent-Aware Decentralized Identity and Zero-Trust Framework for Agentic AI Workloads , International Journal of Modern Computer Science and IT Innovations: Vol. 2 No. 11 (2025): Volume 02 Issue 11
- James T. Holloway, Modularity, Resilience, and Functional Redundancy: Integrating Microservices Architecture Principles with Tropical Montane Cloud Forest Dynamics , International Journal of Modern Computer Science and IT Innovations: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Dr. Adrian K. Varela, Edge Intelligence-Driven Intrusion Detection for Internet of Things Networks in Next-Generation Communication Systems , International Journal of Modern Computer Science and IT Innovations: Vol. 3 No. 03 (2026): Volume03 Issue03
- Paul Kovalenko, Resilient Embedded and Automotive Systems: Integrating Lockstep Architectures, Software-Based Fault Detection, And Cyber-Physical Safety Models for Next-Generation Reliability , International Journal of Modern Computer Science and IT Innovations: Vol. 2 No. 12 (2025): Volume 02 Issue 12
- Dr. Markus Vogel, Large Language Model–Driven Digital Twins for Lean-Aware Manufacturing Execution System Optimization in Industry 4.0 Environments , International Journal of Modern Computer Science and IT Innovations: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Prof. Elena Rostova, Dr. Kenji Tanaka, Enhancing Stability in Distributed Signed Networks via Local Node Compensation , International Journal of Modern Computer Science and IT Innovations: Vol. 2 No. 09 (2025): Volume 02 Issue 09
- Dr. Julian C. Vance, Prof. Anya Sharma, Synergistic Integration of AI and Blockchain: A Framework for Decentralized and Trustworthy Systems , International Journal of Modern Computer Science and IT Innovations: Vol. 2 No. 08 (2025): Volume 02 Issue 08
- Dr. Rohan Verma, Dr. Sneha Kulkarni, Machine-Learning Architectures enabling Human Trait Verification Alternatives within Risk-Coverage Ecosystems: Resilient Identity Validation, Policy Adherence , International Journal of Modern Computer Science and IT Innovations: Vol. 3 No. 02 (2026): Volume 03 Issue 02
You may also start an advanced similarity search for this article.