Niklas Lavesson
Professor
Department of Software Engineering
Room J2620, Karlskrona
Research domain: Software Engineering
Niklas Lavesson is Professor of Software Engineering with specialization Applied AI and Machine Learning at Software Engineering Research Laboratory (SERL), Blekinge Institute of Technology (BTH) since July 2021. Lavesson has a PhD in computer science with specialisation in machine learning from BTH (2008). His research interests within basic research are focused on explainable and interactive AI-systems. Within applied research, Lavesson is interested in how to 1) use AI and machine learning to make software engineering more efficient and effective, and 2) how to pose requirements for, develop, test, and maintain data-driven AI systems which are able to make themselves understood by humans and which can collaborate with humans to solve tasks together.
Selected publications
- Niklas Lavesson, Martin Boldt, Paul Davidsson, Andreas Jacobsson. (2011). Learning to detect spyware using end user license agreements.
- Hiva Allahyari, Niklas Lavesson. (2011). User-oriented assessment of classification model understandability. Proc. Scandinavian Conference on Artificial Intelligence.
- Niklas Lavesson, Paul Davidsson. (2006). Quantifying the impact of learning algorithm parameter tuning. Proc. AAAI National Conference on Artificial Intelligence.
Latest publications
- Gabriel Nogueira Pacheco, Luiz Eduardo Galvão Martins, Ana Estela Antunes da Silva, Niklas Lavesson, Tony Gorschek, "Natural Language Processing in Software Engineering", Journal of Software Engineering Research and Development, Vol. 13, No. 2, Sociedad Brasileira de Computacao, 2025
- Marcos Kalinowski, Daniel Mendez, Görkem Giray, Antonio Pedro Santos Alves, Kelly Azevedo, Tatiana Escovedo, Hugo Villamizar, Helio Lopes, Teresa Baldassarre, Stefan Wagner, Stefan Biffl, Jürgen Musil, Michael Felderer, Niklas Lavesson, Tony Gorschek, "Naming the Pain in machine learning-enabled systems engineering", Information and Software Technology, ISSN 0950-5849, EISSN 1873-6025, Vol. 187, Elsevier, 2025
- Jonatan Flyckt, Tony Gorschek, Daniel Mendez, Niklas Lavesson, "Identifying key AI challenges in make-to-order manufacturing organisations", Journal of Systems and Software, ISSN 0164-1212, EISSN 1873-1228, Vol. 230, Elsevier, 2025
- Jonatan Flyckt, Niklas Lavesson, "Navigating demand forecasting in make-to-order manufacturing", CEUR Workshop Proceedings, EISSN 1613-0073, pp. 12-25, Technical University of Aachen, 2025
- Antonio Pedro Santos Alves, Marcos Kalinowski, Görkem Giray, Daniel Mendez, Niklas Lavesson, Kelly Azevedo, Hugo Villamizar, Tatiana Escovedo, Helio Lopes, Stefan Biffl, Jürgen Musil, Michael Felderer, Stefan Wagner, Teresa Baldassarre, Tony Gorschek, "Status Quo and Problems of Requirements Engineering for Machine Learning", Product-Focused Software Process Improvement, ISSN 0302-9743, EISSN 1611-3349, pp. 159-174, Springer Science+Business Media B.V., 2024