Improving Api Test Accuracy through Schema Validation and Real-time Json Assertions in Jenkins Pipelines

Author(s)	Udayan Verma
Country	United States
Abstract	The paper presents a framework, which can make API testing more accurate by integrating JSON schema validation and real-time JSON assertions as steps in the Jenkins pipeline. The structural regressions are known to bring about catastrophic integration mistakes and the conventional functional testing may not be effective within a large scale microservices ecosystem. The proposed model applies a two-level validation plan. A quality gate is a versioned JSON schema against which API responses are checked to be correct, in order to ensure integrity. The satisfied pay loads are then passed to a next stage of real-time JSON assertions which accept the data and compare it against dynamic business logic and situational rule sets. The combination of the two layers into the CI/CD process will guarantee the attention to both structural and functional correctness. The effect is that there will be a massive decrease in defect leakage, better issues will be resolved, and the confidence of production deployments will grow.
Keywords	Jenkins Pipeline, API Testing, Schema Validation, JSON Assertions, CI/CD.
Published In	Volume 16, Issue 3, July-September 2025
Published On	2025-08-08
DOI	https://doi.org/10.71097/IJSAT.v16.i3.10656

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International Journal on Science and Technology