Software Engineering and Education (SEE) research group

Members

In the cross-disciplinary Software Engineering and Education (SEE) research group, we study the development of software (AI and traditional) and its education.

Worldwide, there is an increasing demand for software professionals, and software engineers are the fifth most common profession in Sweden today. The SEE group consists of social scientists and computer scientists with the goal of understanding how software is successfully created and how to best learn software development.

We are particularly invested into

The quality assurance of software and AI through testing and test augmentation (contact Felix Dobslaw),
The gap between education and industry demands and the role of life-long learning (contact Lena-Maria Öberg),
Forms of distance collaboration and their implications for individuals and organizations (contact Thomas Persson).

Publications

Rodi Jolak, Simon Karlsson, Felix Dobslaw (2025). An Empirical Investigation of the Impact of Architectural Smells on Software Maintainability. Elsevier, Journal of Systems and Software (JSS, open access). — accepted for publication

Eva Thilderkvist, Felix Dobslaw (2024). On Current Limitations of Online Eye-Tracking to Study the Visual Processing of Source Code. Elsevier, Journal of Information and Software Technology (IST, open access). (link to the publication)

Johanna Velander, Nuno Otero, Felix Dobslaw, Marcelo Milrad (2024). Eliciting and Empowering Teachers’ AI literacy: the devil is in the detail. In Springer Proceedings of the 14th International Conference on Methodologies and Intelligent Systems for Technology Enhanced Learning (MIS4TEL). (link to the publication)

Francisco G. Neto, Felix Dobslaw (2024). Building Collaborative Learning: Exploring Social Annotation in Introductory Programming. In Proceedings of the Software Engineering Education and Training Track of the 46th ACM/IEEE International Conference on Software Engineering (ICSE SEET). (link to the publication)

Felix Dobslaw, Robert Feldt (2024). Automated Boundary Identification for Machine Learning Classifiers. In Proceedings of the 17th Intl. Workshop on Search-Based and Fuzz Testing ACM/IEEE International Conference on Software Engineering (ICSE SBFT 2024). (link to the publication)

Emil Bäckstrand, Rasmus Djupedal, Lena-Maria Öberg and Francisco G. Neto (2024). Unveiling Disparities: NLP Analysis of Software Industry and Vocational Education Gaps. In Proceedings of the 3rd Intl. Workshop on NL-based Software Engineering (ICSE NLP 2024). (link to the publication)

Sergio Rico (2024). Insights Towards Better Case Study Reporting in Software Engineering. In Proceedings of the 1st International Workshop on Methodological Issues with Empirical Studies in Software Engineering (ICSE WSESE 2024). (link to the publication)

Nina B. Dohn, Jimmy Jaldemark, Lena-Maria, Öberg, Marcia H. Lindqvist, Thomas Ryberg & Maarten de Laat (Eds.). (2023). Sustainable Networked Learning: Individual, Sociological and Design Perspectives. Springer Nature. (link to the publication)

Sergio Rico, Felix Dobslaw, Lena-Maria Öberg (2023). Starting Collaborations Between SMEs and Researchers in Software Engineering. In Proceedings of the 14th International Conference on Software Business (ICSOB, open access). (link to the publication)

Lisa Sällvin, Peter Mozelius, & Nicklas Humble. (2023). Games 4 Coding–Do girls feel welcome?. In INTED2023 Proceedings (pp. 4612-4620). IATED. (link to the publication)

Nicole Lundström, Lena-Maria Öberg, & Olga Viberg. (2023). Teachers’ Expectations of Learning Analytics from a Value-based Perspective. In REV2023 01–03 March, 2023, Porto Palace Hotel, Thessaloniki, Greece. (link to the publication)

Felix Dobslaw, Robert Feldt, Francisco G. Neto (2023), Automated Black-box Boundary Value Detection, (PeerJ Computer Science, open access). (link to the publication)

Jon Persson, Marcus Haapasaari Lindgren, Rodi Jolak, Felix Dobslaw (2023), COMET: A ML-Based Technique for Evaluating the Effectiveness of Software Design Communication, 26th International Conference on Model-Driven Engineering Languages and Systems, HuFaMo workshop, ACM/IEEE. (link to the publication)

Felix Dobslaw, Ruiyuan Wan, and Yuechan Hao (2023). Generic and Industrial Scale Many-Criteria Regression Test Selection. Elsevier, Journal of Systems and Software (JSS, open access). (link to the publication)

Raja Khurram Shahzad, Erik Ström, and Peter Mozelius (2023). FAMS: A Formative Assessment Management System for Generating Individualised Feedback. 18th European Conference on Technology Enhanced Learning 2023 (ECTEL). (link to the publication)

Peter Mozelius, Rasmus Pechuel, Baltasar Fernández-Manjón, Tim Kreuzberg, Niklas Humble, & Lisa Sällvin (2023). Development of an Enjoyable Educational Game on Fundamental Programming: Designing for Inclusion and Learning Analytics. In European Conference on Games Based Learning (ECGBL 2023) (Vol. 17, pp. 435-442). ACI Academic Conferences International.

Felix Dobslaw and Peter Bergh (2023). Experiences with Remote Examination Formats in Light of GPT-4. In Proceedings of the 5th ACM European Conference on Software Engineering and Education (ECSEE, open access). (link to the publication)

Felix Dobslaw, Kristian Angelin, Lena-Maria Öberg and Awais Ahmad (2023). The Gap between Higher Education and the Software Industry — A Case Study on Technology Differences. In Proceedings of the 5th ACM European Conference on Software Engineering and Education (ECSEE, open access). (link to the publication)

Ylva Lindberg, & Lena-Maria Öberg (2023, March). The future scribe: Learning to write the world. In Frontiers in Education (Vol. 8, p. 993268). Frontiers. (link to the publication)

Niklas Humble, Peter Mozelius, P., & Lisa Sällvin. (2023, September). Need-Based Game Design: Developing a CT Game Based on Educational Needs. In European Conference on Games Based Learning (Vol. 17, No. 1, pp. 269-277). (link to the publication)

Peter Mozelius, Lisa Sällvin, & Niklas Humble. (2023). An Educational Escape Room for Computational Thinking: Defining the Requirements. In International Conference on Education and New Developments (END 2023), Lisbon, Portugal, 24-26 June 2023 (pp. 190-194). inScience Press. (link to the publication)

Felix Dobslaw and Robert Feldt (2023). Similarities of Testing Programmed and Learnt Software. In Proceedings of the 16th IEEE International Conference on Software Testing (ICST), Artificial Intelligence in Software Testing Workshop (AIST) 2023. (link to the publication)

Petya Hristova Cvitic, Felix Dobslaw and Francisco Gomes de Oliveira Neto (2023). Investigating Software Testing and Maintenance of Open-Source Distributed Ledger. In Proceedings of the 30th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), International Workshop on Blockchain Oriented Software Engineering (IWBOSE) 2023. (link to the publication)

Mats Holmberg and Felix Dobslaw (2022). An Industrial Case-Study on GUI Testing With RPA. In Proceedings of the 15th IEEE International Conference on Software Testing (ICST), International Workshop on User Interface Test Automation and Testing Techniques for Event Based Software (INTUITESTBEDS) 2022. (link to the publication)

Chantal Mutimukwe, Olga Viberg, Lena-Maria Oberg, & Teresa Cerratto‐Pargman. (2022). Students' privacy concerns in learning analytics: Model development. British Journal of Educational Technology, 53(4), 932-951. (link to the publication)

Peter Mozelius, Niklas Humble, Lisa Sällvin, Lena-Maria Öberg, Rasmus Pechuel, & Baltasar Fernández-Manjón, B. (2022). How to get the girls Gaming: A Literature Study on Inclusive Design. In 16th European Conference on Game Based Learning (ECGBL 2022). (link to the publication)