Trustworthy and Responsible AI-Centric Test Engineering
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Software testing is, in general, a notoriously expensive and effort-intensive process. The integration of artificial intelligence (AI) and machine learning (ML) into the software testing and analysis processes offers a transformative approach to optimizing test case design, selection, execution, and maintenance.
AI and ML can be used to automate or support activities throughout the testing process, including the creation of new test cases, extension or maintenance of existing test cases, detection and re-creation of anomalies, analysis of system logs, suggestions on how to improve test suite quality, and prioritization of tests to execute in CI/CD pipelines.
The goal of this project is to explore, investigate, implement, and evaluate a trustworthy, human-centric AI-driven testing process. Our vision is that such a process:
Uses AI and ML to augment, rather than replace, developers.
Enables developers to make effective, data-driven decisions during testing.
Offers trustworthy, repeatable, and explainable results.
| First Name | Last Name | Title |
|---|---|---|
| Eduard Paul | Enoiu | Associate Professor |
| Jean | Malm | Doctoral student |
| Alexandru | Cusmaru | |
| Gregory | Gay |
Test Design and Review Argumentation in AI-Assisted Test Generation (May 2026) Eduard Paul Enoiu, Robert Feldt The 10th International Workshop on Testing Extra-Functional Properties and Quality Characteristics of Software Systems (ITEQS 2026)
Folklore in Software Engineering: A Definition and Conceptual Foundations (Feb 2026) Eduard Paul Enoiu, Jean Malm, Gregory Gay The 19th International Conference on Cooperative and Human Aspects of Software Engineering (CHASE 2026)
Passive Testing of Vehicular Embedded Systems: An Industrial Case Study with T-EARS and Napkin Studio (Sep 2025) Aleksandra Nicaj , Daniel Flemström, Eduard Paul Enoiu, Wasif Afzal 37th International Conference on Testing Software and Systems (ICTSS 2025)
Ethical Challenges and Software Test Automation (Aug 2025) Per Erik Strandberg, Eduard Paul Enoiu, Mirgita Frasheri AI and Ethics ( AI and Ethics)
An Essay on the Role of Folklore in Software Engineering (Jun 2025) Eduard Paul Enoiu Software Center Reporting Workshop 2025 (SCRW25)
| Partner | Type |
|---|---|
| Chalmers University of Technology | Academic |
| University of Gothenburg | Academic |
| Siemens AB | Industrial |
