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

Project TitleStatus
Adequacy-based Testing of Extra-Functional Properties of Embedded Systems (VR) active
ARRAY - Automation Region Research Academy active
CEST - Commissioned Education in Software Testing active
ExA: Execution Trace Analytics active
EXACT - Experimental Analysis of the Coupling Effect Hypothesis in Software Testing active
ITS-EASY Post Graduate School for Embedded Software and Systems active
MegaMaRt2 - Megamodelling at Runtime (ECSEL/Vinnova) active
Software Center: Aspects of Automated Testing active
TESTMINE - Mining Test Evolution for Improved Software Regression Test Selection (KKS) active
TESTOMAT Project - The Next Level of Test Automation active
TRUSTed decision-making system for Cognitive Manufacturing active
Volvo Group Arena active
XIVT - eXcellence in Variant Testing active
AGENTS - Automated Generation of Tests for Simulated Software Systems (KKS) finished
ATAC - Advanced Test Automation for Complex Software-Intensive System (ITEA2/Vinnova) finished
ESS-H - Embedded Sensor Systems for Health Research Profile finished
IMPRINT - Innovative Model-Based Product Integration Testing (Vinnova) finished
Less Bugs finished
MBAT - Combined Model-based Analysis and Testing (Artemis/Vinnova) finished
PROMPT - Professional Master’s in Software Engineering (step II) finished
SWELL - Swedish V&V Excellence finished
SYNOPSIS - Safety Analysis for Predictable Software Intensive Systems finished
TOCSYC - Testing of Critical System Characteristics (KKS) finished

[Show all publications]

Variability Aware Requirements Reuse Analysis (Jun 2020)
Muhammad Abbas
The 42nd International Conference on Software Engineering: Companion Proceeedings (ICSE20)

Cluster-Based Parallel Testing Using Latent Semantic Analysis (Apr 2020)
Sahar Tahvili, Cristina Landin , Hugo Haggren , Martin Längkvist , Amy Loutfi
The Second IEEE International Conference On Artificial Intelligence Testing (AITest 202)

MBRP: Model-based Requirements Prioritization Using PageRank Algorithm (Dec 2019)
Muhammad Abbas, Irum Inayat , Naila Jan , Mehrdad Saadatmand, Eduard Paul Enoiu, Daniel Sundmark
The 26th Asia-Pacific Software Engineering Conference (APSEC 2019)

On the Measurement of Software Complexity for PLC Industrial Control Systems using TIQVA (Nov 2019)
Adnan Muslija , Eduard Paul Enoiu
The 35th ACM/SIGAPP Symposium On Applied Computing (SAC2020)

MegaM@Rt2 Project: Megamodeling at Runtime - Intermediate Results and Research Challenges (Oct 2019)
Andrey Sadovykh , Dragos Truscan , Alessandra Bagnato , Wasif Afzal, Hugo Bruneliere , Abel Gomez , Alexandra Espinosa Hortelano, Gunnar Widforss, Pierluigi Pierini , Elizabeta Fourneret
2019 International Conference on Technology of Object Oriented Languages and Systems (TOOLS'19)

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

Daniel Sundmark, Professor

Room: U1-063

Wasif Afzal, Associate Professor

Room: U1-138
Phone: +46 21107393