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
Ethical Interviews in Software Engineering (Sep 2019) Per Erik Strandberg Empirical Software Engineering and Measurement, 13th International Symposium on (ESEM19)
Improving Software Requirements Reasoning by Novices : An Empirical Evaluation (Aug 2019) Rubia Fatima , Affan Yasin , Lin Liu , Jianmin Wang , Wasif Afzal, Atif Yasin IET Software (IETSEN)
Communication Patterns of Kanban Teams and their Impact on Iteration Performance and Quality (Aug 2019) Saad Shafiq , Irum Inayat , Muhammad Abbas Euromicro Conference on Software Engineering and Advanced Applications (SEAA 2019)
Machine Learning-Assisted Performance Testing (Aug 2019) Mahshid Helali Moghadam ESEC/FSE ACM Student Research Competition (ESEC/FSE SRC'19)
On a Tool-Supported Model-Based Approach for Building Architectures and Roadmaps: The MegaM@Rt2 Project Experience (Aug 2019) Andrey Sadovykh , Wasif Afzal, Dragos Truscan , Pierluigi Pierini , Hugo Bruneliere , Alessandra Bagnato , Abel Gomez , Jordi Cabot , Orlando Avila-Garcia Microprocessors and Microsystems (MICPRO)
An Improved Software Reliability Prediction Model By Using High Precision Error Iterative Analysis Method (Jun 2019) Gul Jabeen, Ping Luo, Wasif Afzal Softw. Test. Verif. Reliab. (STVR)
