The mission of the CSE Division is to provide education and research in all relevant aspects of Computer Science and Software Engineering for industrial and embedded systems. To establish world class education and research in this utterly complex area extensive collaboration with industry is required. The goal is to strengthen and secure the Computer Science and Software Engineering part of the education, and to provide scientifically well founded methods and theories for the application areas. Our research is directed to increase the knowledge of software engineering and in particular of industrial software engineering, real-time and embedded systems component-based software engineering, dependable systems, from both theoretical and practical points of view. The research results of the CSE is supposed to be used both at the university and in the industry. At the university, the accumulated knowledge is used for further education in order to prepare the students for new aspects in system development. The industry will benefit with direct implementation of methods and knowledge built up in the research activities and well educated students.
ENHANCING EXPLAINABILITY, ROBUSTNESS, AND AUTONOMY: A COMPREHENSIVE APPROACH IN TRUSTWORTHY AI (May 2025) Mobyen Uddin Ahmed, Shahina Begum, Shaibal Barua, Abu Naser Masud, Gianluca Di Flumeri , Nicolò Navarin IEEE Symposium on Explainable, Responsible, and Trustworthy CI (IEEE CITREx)
AI-Powered Semantic Search for Historical Documentation: A Collaborative Research with Hitachi Energy (Apr 2025) Ivan Hansson , Edvin Wiklund , Alessio Bucaioni, Luciana Provenzano
Enhancing IoT Edge Platforms: Selecting an MQTT-Compatible Broker for Kubernetes Environments (Apr 2025) Bahareh Aghajanpour , Alessio Bucaioni, Gabriele Capannini
Automated Test Generation: Taxonomy and Tool Applications (Apr 2025) Eduard Paul Enoiu, Nasir Mehmood Minhas, Michael Felderer , Wasif Afzal 11th International Conference on Fundamentals of Software Engineering (FSEN 2025)
ReqRAG: Enhancing Software Release Management through Retrieval-Augmented LLMs: An Industrial Study (Apr 2025) Md Saleh Ibtasham , Sarmad Bashir, Muhammad Abbas, Zulqarnain Haider, Mehrdad Saadatmand, Antonio Cicchetti Requirements Engineering: Foundation for Software Quality (REFSQ 2025)
In-Depth Analysis of Diverse Driver Behaviors using Hybrid Multimodal Machine Learning (Mar 2025) Mera Abudiab , Francisco Javier Pérez Núñez , Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, Arnab Barua International Conference on Computer and Information Technology (ICCIT)