CASE STUDY

Java API Automation Framework

A scalable API automation framework based on Java, JUnit and RestAssured.

Java API Automation Framework

01. Project Overview

A scalable API automation framework based on Java, JUnit and RestAssured — built for reuse across environments, auth modes, and CI pipelines.

02. Problem

Why build this?

One-off scripts do not survive team handoffs — API suites need durable structure.

03. Solution

How was it solved?

Built a Java + RestAssured framework with clear layers, reporting, and CI hooks.

04. Architecture

System architecture

Test chain

  1. Test Cases
  2. Page / API Objects
  3. Service Layer
  4. RestAssured
  5. API

05. Key Features

Core capabilities

  • API request abstraction
  • Environment configuration
  • Test data management
  • Authentication handling
  • Assertion utilities
  • Allure reporting
  • CI/CD integration

06. My Role

What did I specifically do?

  • Designed layered API object and service abstractions for maintainable suites.
  • Standardized environment config, auth helpers, and assertion utilities.
  • Integrated Allure reporting and CI-friendly Maven execution.

07. Tech Stack

What technologies power it?

  • Java
  • JUnit
  • RestAssured
  • Maven
  • Allure

08. Metrics

What results can we show?

Java · JUnit · RestAssuredStack
API automationFocus

09. Deployment

How do you run it?

Clone the Java practice suite and run Maven-based API tests locally or in CI.

  1. Clone https://github.com/XuXuClassMate/My_Test_JAProject
  2. Configure environment and auth settings for the target API.
  3. Run Maven tests and review Allure reports.
  4. Optionally compare patterns with the Python / Locust practice repo.

12. Tradeoffs

  • Layered API objects over flat scripts — slower first test, faster year-two changes.
  • Allure + Maven over ad-hoc logs — reports that survive handoffs.
  • Public practice repo so patterns can be copied without a private wiki.

13. What shipped

  • Reusable suite structure for API work
  • Allure-ready reporting path
  • Open practice project on GitHub

14. Inspectable proof

Java practice suite

Reusable API automation patterns.

GitHub

Python + Locust examples

Performance, API, Selenium, and Appium practice.

GitHub

Contact:

Open for collaboration, consulting, and engineering opportunities.

  • AI Testing tools / ClawHub skill customization
  • QA / SDET consulting and team advisory
  • Test infrastructure / Docker environment enablement
  • Open-source collaboration with InnoNestX