Robin Maisch, Nathan Hagel, and Alexander Bartel, professor at Neu-Ulm University of Applied Sciences, have received the Best Paper award at the 6th European Conference on Software Engineering Education (ECSEE) for their paper “Towards Robust Plagiarism Detection in Programming Education: Introducing Tolerant Token Matching Techniques to Counter Novel Obfuscation Methods“.

In their work, the researchers have developed an approach to incorporate strategies from bioinformatics into state-of-the-art source code plagiarism detection systems in order to enhance the precision of detection while also preventing typical plagiarism obfuscation techniques often encountered in their teaching activities.

29.05.2025

The paper titled "Continuous integration of architectural performance models with parametric dependencies – the CIPM approach" by Manar Mazkatli, David Monschein, Martin Armbruster, Robert Heinrich, and Anne Koziolek has been published in the international journal Automated Software Engineering (ASE). The paper presents the approach Continuous Integration of architectural Performance Model (CIPM) that automatically updates a parametric architectural performance model (aPM) after each evolutionary, adaptive, or usage change. Thanks also to its self-validation process, CIPM will automatically keep the aPM up-to-date throughout the development and operation, which enables architecture-based performance prediction for a proactive identification of upcoming performance problems and for evaluating alternatives at low costs.

09.04.2025

At REFSQ 2025, SDQ members were honored to win the Open Science Challenge Award for our paper! Even though OpenScience should be the goal for all of us, its nice to get recognition for the efforts put in. Thanks Oliver Karras and Julian Frattini for organizing the challenge and advocating OpenScience at REFSQ and thanks to TIB and ORKG to sponsor the award.

04.04.2025

A part of our team from SDQ had the privilege of attending and presenting at the International Conference on Software Architecture (ICSA) in Odense, Denmark! We were excited to discuss with the community and share our latest research:

- Reiche, Heinrich: Detecting Encryption Vulnerabilities By Coupling Architectural Analyses and Source Code Analyses
- Soliman, Keim: Do Large Language Models Contain Software Architectural Knowledge?
- Niehues, Hahner, Heinrich: An Architecture-Based Approach to Mitigate Confidentiality Violations Using Machine Learning
- Jafari Sarvejahani: Towards Architectural Pen Test Case Generation and Attack Surface Analysis to Support Secure Design
- Hagel, Hili, Bartel, Koziolek: Towards Low-code Architecture and Development of Embedded Systems
- Fuchß, Liu, Hey, Keim, Koziolek: Enabling Architecture Traceability by LLM-based Architecture Component Name Extraction

11.03.2025

We are thrilled to announce: Our educational project RockStartIT by Lucia Happe and Kai Marquardt has been honored at this year’s LeLa Award for student laboratories! In the category “Digital Student Laboratory,” RockStartIT received the 3rd prize – a wonderful recognition of our commitment to digital and interdisciplinary education.

RockStartIT represents a learning concept that combines innovation, inclusion, and inspiration. Our modular program excites children and young people about the fascinating possibilities of computer science and STEM subjects – practical, interactive, and sustainable. Through flexible expeditions that combine various disciplines, we foster creative thinking, problem-solving skills, and digital competencies.

We thank the LeLa network for this award and everyone who has supported and contributed!

12.02.2025

At this years IEEE/ACM International Conference on Software Engineering (ICSE) and its co-hosted CSEE&T and workshops, SDQ has in total 3 accepted papers:

Dominik Fuchß, Tobias Hey, Jan Keim, Haoyu Liu, Niklas Ewald, Tobias Thirolf, Anne Koziolek: LiSSA: Toward Generic Traceability Link Recovery through Retrieval-Augmented Generation

Timur Sağlam, Nils Niehues, Sebastian Hahner, Larissa Schmid: Mitigating Obfuscation Attacks on Software Plagiarism Detectors via Subsequence Merging

Angelika Kaplan, Jan Keim, Lukas Greiner, Ralf Sieger, Raffaela Mirandola, Ralf Reussner: Responsible and Sustainable AI: Considering Energy Consumption in Automated Text Classification Evaluation Tasks