Master thesis: AI-Generated Testing for Case Management Systems: From Automated Test Design to Autonomous Test Execution

Testing business-critical case management platforms such as iipax becomes harder to scale as software complexity and release frequency increase. This thesis investigates how generative AI and autonomous agents can improve test creation and execution while reducing manual effort. The aim is to assess these approaches experimentally and recommend how they could support quality assurance in enterprise systems.

The assignment

• Review research on generative AI, AI agents and AI-assisted testing, and examine current testing practices in enterprise case management.
• Evaluate frameworks and technologies for generating test cases and executing tests autonomously.
• Develop a proof of concept for AI-generated tests and/or agent-based test execution. Possible inputs include Excel test repositories, application configurations, workflows, roles and business processes.
• Explore how agents could reproduce user interactions and realistic workloads for functional, regression or performance testing.
• Compare AI-assisted testing with conventional methods using measures such as coverage, execution speed, defect detection, test quality and maintenance effort.
• Identify practical benefits, limitations and testing activities with the strongest potential return on investment.

Who we are looking for

• Currently studying Computer Science, Software Engineering, Information Technology, Artificial Intelligence or a related university programme.
• Interested in software development, AI and automation, with curiosity and motivation to solve complex problems and build practical solutions.
• Experience in software development, test automation, machine learning, generative AI or cloud-native technologies is advantageous.
• Knowledge of Python, Java, JavaScript or comparable programming languages is beneficial.
• Swedish citizenship is required due to requirements from several customers.
• Fluent communication in Swedish and English.

What we offer

• An opportunity to investigate AI-assisted quality assurance with potential applications in iipax and other business-critical platforms.
• Work combining theoretical research with a practical proof of concept and experimental evaluation.

Practical details

Location: Linköping. For questions, contact Marie Pilsmo at marie.pilsmo@idainfront.se.