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
Run Time Memory Error Recovery Process in Networking System (Nov 2023) Carlo Vitucci, Daniel Sundmark, Jakob Danielsson, Marcus Jägemar, Alf Larsson , Thomas Nolte The 7th International Conference on System Reliability and Safety (ICSRS23)
SmartDelta project: Automated quality assurance and optimization across product versions and variants (Nov 2023) Mehrdad Saadatmand , Muhammad Abbas, Eduard Paul Enoiu, Bernd-Holger Schlingloff , Wasif Afzal, Benedikt Dornauer , Michael Felderer Microprocessors and Microsystems (MICPRO)
Fault Management Impacts on the Networking Systems Hardware Design (Oct 2023) Carlo Vitucci, Daniel Sundmark, Marcus Jägemar, Jakob Danielsson, Alf Larsson , Thomas Nolte 49th Conference of the IEEE Industrial Electronics Society 2023 (IECON 2023)
Ambient Temperature Prediction for Embedded Systems using Machine Learning (Oct 2023) Selma Rahman , Mattias Olausson , Carlo Vitucci, Ioannis Avgouleas 8th International Conference on Engineering of Computer-based Systems (ECBS2023)
On transforming model-based tests into code: A systematic literature review (Sep 2023) Fabiano C. Ferrari , Vinicius H. S. Durelli , Sten F. Andler, Jeff Offutt, Mehrdad Saadatmand , Nils Müllner Software Testing, Verification, and Reliability (STVR)
Requirements Classification for Smart Allocation: A Case Study in the Railway Industry (Sep 2023) Sarmad Bashir, Muhammad Abbas, Alessio Ferrari , Mehrdad Saadatmand , Pernilla Lindberg 2023 IEEE 31st International Requirements Engineering Conference (RE'23)