Software Testing Laboratory


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

[Show all publications]

Ethical Interviews in Software Engineering (Sep 2019)
Per Erik Strandberg
Empirical Software Engineering and Measurement, 13th International Symposium on (ESEM19)

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)

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)

Requirements dependencies-based test case prioritization for extra-functional properties (Apr 2019)
Muhammad Abbas, Irum Inayat , Mehrdad Saadatmand, Naila Jan
ICST Workshop on Testing Extra-Functional Properties and Quality Characteristics of Software Systems (ITEQS'19)

Machine Learning to Guide Performance Testing: An Autonomous Test Framework (Apr 2019)
Mahshid Helali Moghadam, Mehrdad Saadatmand, Markus Borg , Markus Bohlin, Björn Lisper
ICST Workshop on Testing Extra-Functional Properties and Quality Characteristics of Software Systems (ITEQS'19)

Automated Functional Dependency Detection Between Test Cases Using Doc2Vec and Clustering (Apr 2019)
Sahar Tahvili, Leo Hatvani, Michael Felderer , Wasif Afzal, Markus Bohlin
The First IEEE International Conference On Artificial Intelligence Testing (AI Testing)

Daniel Sundmark, Professor

Room: U1-063

Wasif Afzal, Associate Professor

Room: U1-138
Phone: +46 21107393