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Home > Events > Invited Talks > 2015 > Overview of working lines of the M-GROUP: Department of Information Processing Science (University of Oulu, FI)

Markku Oivo

Friday, March 6, 2015

11:45am Lecture hall 1, level B

Markku Oivo, Professor, University of Oulu, Finland

Overview of working lines of the M-GROUP: Department of Information Processing Science (University of Oulu, FI)

Abstract:

M-Goup focus is in empirical software engineering in software and data intensive systems and services. It is a research group increasing rapidly its academic competence and achievements. This is demonstrated e.g. by growing number of publications, PhD theses and two FiDiPro professors.

M-Group has four full professors, two FiDiPro professors, six post-doc researchers and over 40 PhD students. The research of the group has been rated as excellent (5/6) in an international external RAE evaluation.

We carry out research typically in collaboration with industry. A wide domestic and international industrial contact network provides a solid basis for empirical research that has high quality academic impact and also strong relevance for practitioners. Our Cloud Software Factory and the related ecosystem with companies and other Software Factories provides an environment in which we can carry out student experiments as well as industrial experiments and case studies.

M-Group has a long tradition in international collaboration. The group is a member of ISERN (Prof. Oivo one of its six founding members) and has actively participated in large European research projects since the 1990’s. Our personnel are very international and we are happy to host both long and short term visitors. The everyday working language and documentation is English which makes it easy for members to adjust within the group.

The main topics of empirical research for software and data intensive systems and services include:

  • Processes and quality
  • Agile & Lean methods
  • Software development methodologies
  • Requirements engineering
  • Software and system architectures
  • Testing
  • Cloud based development and systems (in and for cloud)
  • Service design methods and tools
  • Data science
  • Privacy & Security