Software and Systems Engineering
Software and Systems Engineering (SSE) conducts research on theory, methods, processes, algorithms, and tools to support the design, development, testing, and maintenance of industrial software and software-intensive systems, including research on model-based development to simplify development and operation, dependability (e.g., safety and security) to assure that systems can be sufficiently trusted, and software testing, addressing quality attributes needed for dependability and performance.
Research areas
Automated Software language and Software engineering
The ASSO research group focuses on automating the engineering of software languages and software by applying advanced computation and data manipulation techniques.
Read more about Automated Software language and Software engineeringCertifiable Evidences and Justification Engineering
This group performs research on languages, techniques, metrics, and processes for engineering evidence(s) and justifications for the purpose of certification/selfassessment.
Read more about Certifiable Evidences and Justification EngineeringCyber-Physical Systems Analysis
The research group is focused on analyzing cyber-physical systems, as concurrent and distributed systems where embedded computers and networks monitor and control the physical processes.
Read more about Cyber-Physical Systems AnalysisReal-Time Systems Design
Focusing on design methods, architectures, and communication for real-time system, with current emphasis on functional safety, cybersecurity, adaptive real-time systems, and software testing.
Read more about Real-Time Systems DesignIndustrial Software Engineering
Focusing on engineering of complex software-intensive embedded systems, covering the entire lifecycle and including technologies, methods and processes. Particular emphasis on component- and model-based software engineering for embedded systems.
Read more about Industrial Software EngineeringModel-Based Engineering of Embedded Systems
Development of methods and tools for model-based engineering of embedded systems. Including: models for architectural and behavioral descriptions of system and requirements for systems, techniques for analyzing and transforming models, and runtime architectures for resource efficient, predictable embedded systems.
Read more about Model-Based Engineering of Embedded SystemsSoftware Testing Laboratory
Testing of embedded software, empirical studies of software testing, test automation and model-based testing.
Read more about Software Testing LaboratorySafety-Critical Engineering
Focusing on bridging the theoretical foundations of dependability and industrial software development practices, with an emphasis on the technology and process aspects of complex dependable systems.
Read more about Safety-Critical EngineeringDependable Software Engineering
Methods and processes for engineering dependable software systems.
Read more about Dependable Software EngineeringContact
Fore more information about Software and Systems Engineering, please contact Jan Carlson.
Ongoing research projects
The ESCAPE-CD project will provide infrastructure and solutions that enable a fleet of autonomous and semi-autonomous vehicles and machines from multiple suppliers to be managed in a production facility in a way that enables high productivity while ensuring safe operation at an acceptable level. The project is based on one or more use cases provided by Boliden, together with a simulation-based method for analyzing functional safety provided by MDU.
Project manager at MDU: Hans Hansson
Main financing: Vinnova
ITS-EASY is an industrial research school in Embedded Software and Systems, affiliated with the School of Innovation, Design and Engineering (IDT) at Mälardalen University (MDU), as an integrated part of the MDU strategic research area Embedded Systems (ES).
Project manager at MDU: Kristina Lundqvist
Main financing: The Knowledge Foundation
The purpose of this project is to study how system developers can design their products to have capabilities that make them effective in an SoS context, and how SoS designers can compose the available elements, called constituent systems (CS), as efficiently as possible to achieve a particular mission.
Project manager at MDU: Jakob Axelsson
Main financing: KKS / Knowledge Foundation
The project focuses on modeling and analyzing event-based asynchronous autonomous systems for safety assurance, performance evaluation, and optimization
Project manager at MDU: Marjan Sirjani
Main financing: The Knowledge Foundation
The project aims to increase the efficiency of analysis and management of risks in critical societal interconnected systems-of-systems. This is achieved by risk analysts, who, with a certain amount of work, become able to identify and reduce significantly more risks than they can manage with today's methods and the same amount of effort.
Project manager at MDU: Jakob Axelsson
Main financing: Myndigheten för samhällsskydd och beredskap (MSB)
The project aims to develop an ICT-enabled, data-driven, decision-support system that implements a practical economic replacement time model based on high-quality, real cost data and environmental parameters.
Project manager at MDU: Wasif Afzal
Main financing: Vinnova
Q-Test will enable STL and VCE to reach a common research agenda through various startup activities, enabling both parties to apply for a joint research project in near future, targeting quality increment in embedded electronic system testing.
Project manager at MDU: Wasif Afzal
Main financing: Volvo Construction Equipment
Software Center is a collaboration between five academic partners and thirteen companies, dedicated to accelerating industrial digitalization and to support a continuous exchange of knowledge between the companies.
Project manager at MDU: Jan Carlson
The long-term goal of this project is to identify key factors that hinder the combination of model- based development and continuous integration, and to develop methods, techniques and tools to help alleviate them.
Project manager at MDU: Jan Carlson