Quality assurance and testing of embedded software and systems.
The Software Testing Laboratory (STL) focuses on contemporary and future challenges in testing of embedded software systems, primarily in research projects conducted in close collaboration with industrial partners.
With an emphasis on method and tool development, as well as industrial and practical real life case studies, our research focus includes (but is not limited to) test design, model-based testing, search-based software testing, decision-support for software testing, and test automation. In short, we develop, refine, and evaluate methods, theories and tools for testing of industrial software systems.
The objectives of STL are to improve the current body of knowledge in software testing, and to disseminate our results with the broader research community as well as with our industrial partners. To achieve this, we regularly publish in the main software testing venues, try to keep an open mind, and continuously engage in diverse academic and industrial collaboration
Requirements Ambiguity Detection and Explanation with LLMs: An Industrial Study (Sep 2025) Sarmad Bashir, Alessio Ferrari , Muhammad Abbas Khan, Per Erik Strandberg, Zulqarnain Haider, Mehrdad Saadatmand, Markus Bohlin 41st International Conference on Software Maintenance and Evolution (ICSME 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)
State of Test Optimization for Variability in Industry (May 2025) Muhammad Abbas Khan, Mehrdad Saadatmand, Eduard Paul Enoiu, Bernd-Holger Schlingloff 22nd International Conference on Information Technology: New Generations (ITNG 2025)
Gaps in Software Testing Education: A Survey of Academic Courses in Sweden (May 2025) Ayodele Barrett, Eduard Paul Enoiu, Wasif Afzal IEEE Conference on Software Engineering Education and Training (CSEE&T25)
ReqRAG: Enhancing Software Release Management through Retrieval-Augmented LLMs: An Industrial Study (Apr 2025) Md Saleh Ibtasham , Sarmad Bashir, Muhammad Abbas Khan, Zulqarnain Haider, Mehrdad Saadatmand, Antonio Cicchetti Requirements Engineering: Foundation for Software Quality (REFSQ 2025)