| KEYWORD |
AI-Powered Testing Tools
Reference persons RICCARDO COPPOLA
Research Groups DAUIN - GR-16 - SOFTWARE ENGINEERING GROUP - SOFTENG
Thesis type INDUSTRY
Description The thesis will be with Concept Quality Reply
Context:
In the context of software testing for Automotive Offboard services and due to the increasing complexity of the systems under tests, our clients demands new and adaptative alternative based on AI that consent to analyze the system, design resilience test strategies and efficiently execute them
Description:
The candidate will support the Automation test team analyzing the state of the art in resilience testing and understanding ho w and to what extent AI can be integrated with the overall goal of creating an integrated AI Resilience test framework
Objectives:
• Identify and analyse the state of the art in terms of Resilience tests
• Design possible functional area where the AI can be proficiently used
• Prepare AI PoC that can inspect a system, create a resilience testing plan, creates via IaC the needed test environment and execute it providing the test results
• Integration of AI powered testing tools with proprietary test automation framework
Pre-requisites:
• Programming languages: python, Java,
• Knowlege about APIs (Desirable OpenAI API)
• Knowledge about AI and Machine learning.
• Interest in Quality Assurance techniques and test automation (university projects, extracurricular activities..)
• Self-directed learning skills
• Basics of SQL and NoSQL, HTML
Skills acquired:
• Python, Java, Javascript, Postman, Selenium, IaC methodologies and tools, Performance and Resilience testing methodologies, Test Automation Framework Design and best practices, OpenAI API, AI powered testing tools, Node.js, Requirement analysis
Deadline 03/09/2025
PROPONI LA TUA CANDIDATURA