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ORCID51st SEAA 2025: Salerno, Italy - Part I
- Davide Taibi
, Darja Smite:
Software Engineering and Advanced Applications - 51st Euromicro Conference, SEAA 2025, Salerno, Italy, September 10-12, 2025, Proceedings, Part I. Lecture Notes in Computer Science 16081, Springer 2026, ISBN 978-3-032-04189-0
Data and AI Driven Engineering
- Matthias Preuner, Paul Grünbacher, Pedro Luiz de Paula Filho, Alexander Egyed:
Feature-Based Versioning for ML-Enabled Product Lines. 3-19 - Vasilica Moldovan, Rares-Danut Patcas, Simona Motogna:
LLMs Based Data Augmentation Techniques for Python Code Refactoring. 20-36 - Robert Heumüller, Theo Langer, Frank Ortmeier:
Empirical Analysis of OpenAI Embeddings for Semantic Code Review Comment Similarity. 37-45 - Mohammad Mehdi Afkhami, Iman Hemati Moghadam, Vadim Zaytsev, MohammadHossein Ashoori, Hossein Bazmandegan:
Refactoring Detection Across Languages: Leveraging Java-Trained Models for Detecting Class-Level Refactorings in Kotlin. 46-63 - Marius Kreutzer, Maximilian Kirschner, Jürgen Becker:
Towards a Service-Oriented Infrastructure for Distributed Systems with Heterogeneous AI Accelerators. 64-78 - Silvio Alonso, Antonio Pedro Santos Alves, Lucas Romao, Hélio Lopes, Marcos Kalinowski:
Define-ML: An Approach to Ideate Machine Learning-Enabled Systems. 79-96 - Vladislav Indykov, Daniel Strüber, Rebekka Wohlrab:
MLTradeOps: Embedding Trade-Off Management into the MLOps Workflow. 97-112 - Erik Eriksson, Joel Olausson, Vladislav Indykov, Daniel Strüber, Rebekka Wohlrab:
Extracting Design Patterns from Mined Component Models of ML-Enabled Systems. 113-129 - Moamin Abughazala, Motunrayo Ibiyo, Henry Muccini, Mohammad Sharaf:
Quality by Prompt: LLM-Powered Transformation of Data Quality Requirements Into Great Expectations. 130-147 - Evangelos Ntentos, Francesco Urdih, Uwe Zdun:
ML Pipeline Insights Service for Rule-Based Assessment of Training Practices in Reinforcement Learning. 148-163 - Mateen Ahmed Abbasi, Petri Ihantola, Tommi Mikkonen, Niko Mäkitalo:
Reconsidering Requirements Engineering: Human-AI Collaboration in AI-Native Software Development. 164-180
Cyber-Physical Systems
- Beatriz Cabrero-Daniel, Mazen Mohamad:
Challenges of Virtual Validation and Verification for Automotive Functions. 183-200 - Tiziano Munaro, Matko Turalija, Simon Barner, Marko Halak:
A Systematic Approach to Fault Injection Test Case Generation in Practice. 201-218 - Ehsan Elahi, Matteo Camilli, Raffaela Mirandola:
Counterfactual Self-adaptation in Cyber-Physical Systems. 219-236 - Cong Wang, Ali Torbati, Verena Klös:
Exploring Explainability Requirements for Self-adaptive Systems. 237-253 - Yelyzaveta Kurkchi, Catia Trubiani:
Ethics-Based Requirements for Engineering Cyber-Physical Systems: A Literature Study. 254-272 - Qi Zhang, Ioannis Stefanakos, Javier Cámara, Radu Calinescu:
Robot Mission Adaptation with Quantitative Guarantees. 273-289 - Yasmin Rafiq, Gricel Vázquez, Radu Calinescu, Sanja Dogramadzi, Robert M. Hierons:
Symbolic Runtime Verification and Adaptive Decision-Making for Robot-Assisted Dressing. 290-308 - Ulrike Engeln, Sibylle Schupp:
Configurable Abstraction of Signals Using Signal Temporal Logic. 309-326
Model-Driven Engineering and Modeling Languages
- Philipp Zech, Christopher Kelter, Sascha Hammes, Judith Michael, Ruth Breu:
Meta-Metamodel-Independent Model Transformations. 329-348 - Vladyslav Bulhakov, Giordano d'Aloisio, Claudio Di Sipio, Antinisca Di Marco, Davide Di Ruscio:
Investigating the Role of LLMs Hyperparameter Tuning and Prompt Engineering to Support Domain Modeling. 349-366 - Adem Ait, Javier Luis Cánovas Izquierdo, Jordi Cabot:
Towards Modeling Human-Agentic Collaborative Workflows: A BPMN Extension. 367-382 - Giacomo Garaccione, Riccardo Coppola, Luca Ardito:
An Automated Diagram Generator of Reference Solutions for Modeling Educators. 383-392 - Robbert Jongeling, Niels Jørgen Strøm, Lars Peter Torp Nissen, Martin Kitchen, Jan Carlson:
Adopting the C4 Model for Lightweight Architecture Modeling - An Experience Report. 393-409
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