Implementation of an AI Solution for Test Automation and Bug Tracking

Project Objective : Develop an AI-powered platform that integrates CI/CD tools (Jenkins, GitLab) with test management (Jira Xray) to automate test execution, analyze results, and intelligently create or link bugs.

Missions :

• Integrate Jenkins with GitLab and Jira Xray to automate the execution of functional and regression tests, improving efficiency in the CI/CD pipeline.
• Utilize Jira Xray to automatically track and report test results, linking them directly to relevant test cases and requirements for better traceability.
• Implement AI algorithms to analyze test failures, identify patterns, and intelligently predict the root causes of issues.
• Use AI insights to automatically create or link bugs in Jira, reducing manual efforts in bug tracking and accelerating the resolution process. **Required Theoretical :**

Knowledge : Network Programming

Required Practical Skills :

• Test Automation: Selenium, ROBOT framework, Python,
• CI/CD: Jenkins, GitLab
• Test Management: Jira Xray
• AI/ML Frameworks: TensorFlow or Scikit-Learn (for
• pattern detection and bug prediction)

Date d’expiration: 03 décembre, 2024