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
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)
Automated Test Generation: Taxonomy and Tool Applications (Apr 2025) Eduard Paul Enoiu, Nasir Mehmood Minhas, Michael Felderer , Wasif Afzal 11th International Conference on Fundamentals of Software Engineering (FSEN 2025)
SmartDelta Methodology: Automated Quality Assurance and Optimization for Incremental System Engineering (Apr 2025) Benedikt Dornauer , Michael Felderer , Mehrdad Saadatmand, Muhammad Abbas, Nicolas Bonnotte , Andreas Dreschinski , Eduard Paul Enoiu, Baykal Mehmet Uçar , Ömercan Devran , Robin Gröpler 22nd International Conference on Information Technology: New Generations (ITNG 2025)
State of Test Optimization for Variability in Industry (Apr 2025) Muhammad Abbas, Mehrdad Saadatmand, Eduard Paul Enoiu, Bernd-Holger Schlingloff 22nd International Conference on Information Technology: New Generations (ITNG 2025)
ReqRAG: Enhancing Software Release Management through Retrieval-Augmented LLMs: An Industrial Study (Apr 2025) Md Saleh Ibtasham , Sarmad Bashir, Muhammad Abbas, Zulqarnain Haider, Mehrdad Saadatmand, Antonio Cicchetti Requirements Engineering: Foundation for Software Quality (REFSQ 2025)
3. Requirements Similarity and Retrieval (Jan 2025) Muhammad Abbas, Sarmad Bashir, Mehrdad Saadatmand, Eduard Paul Enoiu, Daniel Sundmark Handbook on Natural Language Processing for Requirements Engineering (HNLPRE)