Software Testing Laboratory
Focus:
Testing of embedded software, empirical studies of software testing, test automation, model-based testing.
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
Specification of Passive Test Cases using an Improved T-EARS Language (Jan 2022) Daniel Flemström, Wasif Afzal, Eduard Paul Enoiu Software Quality Days (SWQD'21)
A Dynamic Threshold Based Approach for Detecting the Test Limits (Oct 2021) Cristina Landin, Jie Liu , Sahar Tahvili The Sixteenth International Conference on Software Engineering Advances (ICSEA 2021)
Security-based Safety Hazard Analysis using FMEA: A DAM Case Study (Sep 2021) Irum Inayat , Muhammad Farooq , Zubaria Inayat , Muhammad Abbas The 5th International Workshop on Cyber-Security and Functional Safety in Cyber-Physical Systems (IWCFS2021)
Requirements-driven Reuse Recommendation (Sep 2021) Muhammad Abbas, Mehrdad Saadatmand , Eduard Paul Enoiu 25th ACM International Systems and Software Product Line Conference (SPLC 2021)
Ethical AI-Powered Regression Test Selection (Aug 2021) Per Erik Strandberg, Mirgita Frasheri , Eduard Paul Enoiu International Conference On Artificial Intelligence Testing (AITest)
Efficient and Effective Generation of Test Cases for Pedestrian Detection – Search-based Software Testing of Baidu Apollo in SVL (Aug 2021) Hamid Ebadi , Mahshid Helali Moghadam, Markus Borg , Gregory Gay , Afonso Fontes , Kasper Socha The Third IEEE International Conference on Artificial Intelligence Testing (AITest'21)
