The SOFTware engineering, Web and Intelligent SystEms (SOFTWISE) Lab, which before February 2017 was known as Programming Languages and Software Engineering (PLaSE) Lab, was founded on the January of 1998 and initially consisted of 4 members of the teaching and research staff of the School of Informatics.
SOFTWISE serves educational and research needs in the following fields:
Intelligent Systems and Knowledge Processing
Logic programming, constraint satisfaction, Knowledge representation and reasoning, Semantic web, Planning and Scheduling, Intelligent information extraction, Intelligent Web services, Intelligent agents.
Machine Learning and Knowledge Discovery
Multi-label learning, Ensemble methods, Reinforcement learning, Text mining, Periodicity detection, Knowledge discovery from biological data.
Open Source Software, Software Project Management, Enterprise Information Systems, Embedded Software Systems, Software Cost Estimation, Software Quality, Agile methods.
Routing of processes and requests of storage means, I/O sub-systems, Modern operating systems and programming techniques, Evolutionary and parallel algorithms, Internet applications and data technologies, data storage/caching techniques, content delivery networks and data on cloud computing, Web mining, clustering on the Web, directory services and information management, Web 2.0 data management and communities.
Statistics and Operations Research
Statistical methods and models with applications to software engineering and information systems, operations research, simulation in management.
Softwise comprises the following research groups: