The Software Technology Labs research group relies on strong industry collaboration. The areas Software and Information Quality, and Parallel Computing are both represented by interest groups in the Information Engineering Center network.
In this area, ST Labs assesses software engineering artifacts like processes, specifications and code. This may be estimating the effort of developing and maintaining software, getting new users to understand structure and behaviour of software, finding dependencies and changing impact of sub-systems, assessing the software quality, finding the relevant components for re-engineering, etc.
Software and Information Quality
In Information Quality the user viewpoint is important. The term can be considered as a measure of the value the information provides for the user. Quality is often perceived as subjective and the quality of information can then vary, among users and among uses of the information. Only recently it has been suggested to apply measurement and testing techniques to assure information quality. Together with one of our industry partners, Sigma Kudos, ST Labs has pioneered this development.
Parallel Computing refers to executing a program on more than one processor or core. We are interested in high performance computing, distributed computing and stream processing, as used in e.g. scientific and technical data mining.
- Morgan Ericsson Senior lecturer
- +46 72 594 17 48
- Johan Hagelbäck Senior lecturer
- +46 480 49 77 07
- Jonas Lundberg Senior lecturer
- +46 470 70 89 67
- Sabri Pllana Senior lecturer
- +46 470 76 74 29
- Anna Wingkvist Research advisor
- +46 70 872 74 79
- Oleg Danylenko
- +46 470 70 80 21
- Mathias Hedenborg Senior lecturer
- +46 470 70 86 38
- +46 76 760 36 65
- Suejb Memeti Doctoral student
- Tobias Ohlsson Lecturer
- +46 480 49 77 08
- Daniel Toll Lecturer
- +46 480 49 77 09
- Maria Ulan Doctoral student
- Erik Österlund Doctoral student
Jens Kirchner, Doctoral Student