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
ADEPTNESS - Design-Operation Continuum Methods for Testing and Deployment under Unforeseen Conditions for Cyber-Physical Systems of Systems active
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
EXACT - Experimental Analysis of the Coupling Effect Hypothesis in Software Testing active
ITS-EASY Post Graduate School for Embedded Software and Systems active
Software Center: Aspects of Automated Testing active
TESTOMAT Project - The Next Level of Test Automation active
TRUSTed decision-making system for Cognitive Manufacturing active
VeriDevOps - Automated Protection and Prevention to Meet Security Requirements in DevOps Environments 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
MegaMaRt2 - Megamodelling at Runtime (ECSEL/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
TESTMINE - Mining Test Evolution for Improved Software Regression Test Selection (KKS) finished
TOCSYC - Testing of Critical System Characteristics (KKS) finished

[Show all publications]

Automated Reuse Recommendation of Product Line Assets based on Natural Language Requirements (Feb 2021)
Muhammad Abbas, Mehrdad Saadatmand, Eduard Paul Enoiu, Daniel Sundmark, Claes Lindskog
19th International Conference on Software and Systems Reuse (ICSR2020)

Towards a Model of Testers' Cognitive Processes: Software Testing as a Problem Solving Approach (Nov 2020)
Eduard Paul Enoiu, Gerald Tukseferi , Robert Feldt
IEEE International Workshop on Human and Social Aspects of Software Quality (HASQ 2020)

Poster: Performance Testing Driven by Reinforcement Learning (Oct 2020)
Mahshid Helali Moghadam, Mehrdad Saadatmand, Markus Borg , Markus Bohlin, Björn Lisper
IEEE 13th International Conference on Software Testing, Validation and Verification (ICST2020)

QuickREST: Property-based Test Generation of OpenAPI-Described RESTful APIs (Oct 2020)
Stefan Karlsson, Adnan Causevic, Daniel Sundmark
IEEE 13th International Conference on Software Testing, Validation and Verification (ICST2020)

Detecting Inconsistencies in Annotated Product Line Models (Oct 2020)
Damir Bilic, Jan Carlson, Daniel Sundmark, Wasif Afzal, Peter Wallin
Proceedings of the 24th ACM Conference on Systems and Software Product Line: Volume A - Volume A (SPLC 2020)

Performance Analysis of Deep Anomaly Detection Algorithms for Commercial Microwave Link Attenuation (Oct 2020)
Olof Engström , Sahar Tahvili, Auwn Muhammad , Forough Yaghoubi , Lissy Pellaco
The 2020 International Conference on Advanced Computer Science and Information Systems (ICACSIS2020)

Daniel Sundmark, Professor

Room: U1-063

Wasif Afzal, Professor

Room: U1-138
Phone: +46 21107393