• Focus areas
• Research Programmes
• Research Units
  • Algorithmics and Computational Intelligence Group (ACI)
  • Biomathematics Research Unit (BIOMATH)
  • Turku BioNLP Group
  • Computational Biomodeling Laboratory (Combio Lab)
  • Communication Systems (ComSys)
  • Data Mining and Knowledge Management Laboratory
  • Distributed Systems Laboratory (DS Lab)
  • Embedded Computer and Electronic Systems (ECES)
  • Embedded Systems Laboratory (ESLAB)
  • FUNDIM, Fundamentals of Computing and Discrete Mathematics
  • Institute for Advanced Management Systems Research (IAMSR)
  • Learning and Reasoning Lab
  • Software Engineering Laboratory (SE Lab)
    • personnel
    • projects
    • publications
  • Software Construction Laboratorium
  • Software Development Laboratory (SwDev)
  • Turku Optimization Group (TOpGroup)
  • UTU Information Systems Science (ISS)
• Distinguished Lectures

Software Engineering Laboratory (SE Lab)

The mission of the Software Engineering Laboratory is to research, develop and evaluate processes, methods and tools to engineer high-quality software-intensive systems, with a focus on software performance and developer productivity.

• Software Performance Engineering
  • High Performance Computing. Research on parallel programming and code optimization using supercomputers and general purpose computation graphics processing units GPUs. Application areas include bioinformatics, nuclear fusion plasma physics, fluid dynamics and computer graphics.
  • Cloud Software. Research on automatic resource allocation and software scalability to balance application performance and computing infrastructure costs. Application areas include web applications and services.
• Developer Productivity
  • Software Design. Metamodeling languages, domain-specific languages, model repositories, model transformation and model editors to facilitate the design of software-intensive systems. Application areas include the design of embedded systems and web applications and services.
  • Software Testing. Modeling requirements and modeling for test generation. Automated model-based testing of web services and telecommunication software.
  • Software development process improvement and supporting metrics. Improving the way of working when developing different types of software with a focus on agile and lean methods. Measuring the impact of process change on different attributes, ranging from technical attributes, such as software maintainability, to business attributes, such as business value creation.

Research Unit Web Page: https://research.it.abo.fi/research/high-performance-computing

Research Unit Web Page: https://research.it.abo.fi/research/software-engineering-laboratory

Leader of the unit

Ivan Porres

Co-leader of the unit

Jan Westerholm

Senior Researchers

Mats Aspnäs Jeanette Heidenberg Ivan Porres Dragos Truscan Jan Westerholm

Projects 

CRESTA

An EU-funded FP7 project

Cloud Software Program

DISCO

Extension of grid computation to GP-GPU devices

DIEM

Device and Interoperability and Ecosystems

EUFORIA

EU Fusion fOR Iter Applications

PAM

Practical Applications of Model-based technologies to continuous integration & testing methodologies

RECOMP

Reduced Certification Costs Using Trusted Multi-core

SimITER

A problem-driven computational project within fusion physics

VAMOLA

Validation of Many Models in Many Languages

Publications 

Click here to see the full list of publications from the TUCS Publication Database