Streamlining API Testing Efficiency: 60% Faster Cycles with RestAssured Automation
Objective: The main objective was to develop a scalable automated REST API testing framework capable of handling 700+ APIs, ensuring accurate CRUD operations, seamless database validation, and CI/CD pipeline integration. The client aimed to reduce testing time by 60%, cut costs by 40%, and achieve a 40% higher defect detection rate through data-driven testing and comprehensive JSON schema validation.
Business Challenges
The client faced multiple challenges in ensuring efficient and accurate API testing for their large scale
operations:
High Volume of APIs: Automating 700+ REST APIs required a highly scalable testing solution. Platform Reliability: Difficulty in finding a trustworthy and efficient insurance platform
Complex Testing Needs: Validating CRUD operations across multiple APIs posed significant complexity.
Database Integration: Ensuring consistency between API responses and backend database records was critical.
Dynamic Data Driven Testing: Managing and executing tests with diverse datasets was a growing challenge.
The Solution
The client was provided with a custom built REST API automation framework using RestAssured and Java, tailored to handle CRUD operations and dynamic data driven testing. The solution included seamless database validation using JDBC, integration with Jenkins for CI/CD pipelines, and structured JSON schema validation. Java based POJOs were utilized for managing request and response payloads, ensuring effective API representation. Additionally, the framework supported integration with tools like Git and Docker, enabling streamlined automation workflows and structured reporting in formats such as HTML and PDF.
Value Delivered
The implementation of the REST API automation framework transformed the client’s testing process, delivering
significant operational and financial benefits. By automating complex and time-consuming tasks, the client achieved higher accuracy, efficiency, and scalability in their API testing, leading to improved development cycles and reduced manual efforts.
60%
Reduction in testing time, accelerating project delivery and enhancing operational efficiency
40%
cost savings by eliminating the dependency on manual testing and optimizing resource utilization
40%
higher defect detection rate, ensuring better quality and reliability of APIs before deployment