Akzeptierte Beiträge
Die folgenden 64 Beiträge wurden akzeptiert.
“Adaptive Test Generation with Q-grams”
Matteo Biagiola, Robert Feldt und Paolo Tonella
“Automated Generation of Issue-Reproducing Tests by Combining LLMs and Search-Based Testing”
Konstantinos Kitsios, Marco Marco Castelluccio und Alberto Bacchelli
“Automated Soap Opera Testing Directed by LLMs and Scenario Knowledge”
Yanqi Su
“Automating Requirements Elicitation Interviews with LLMs”
Alexander Korn, Samuel Gorsch und Andreas Vogelsang
“Can Developers Prompt? A Controlled Experiment for Code Documentation Generation”
Hans-Alexander Kruse, Tim Puhlfürß und Walid Maalej
“Contextual Privacy Policies for Mobile Applications and An Approach Toward Automated Generation”
Zhen Tao und Shidong Pan
“Continuous Integration of Architectural Performance Models with Parametric Dependencies – The CIPM Approach”
Manar Mazkatli, Martin Armbruster, David Monschein, Robert Heinrich und Anne Koziolek
“Coverage Metrics for T-Wise Feature Interactions – Summary”
Sabrina Böhm, Tim Jannik Schmidt, Sebastian Krieter, Tobias Pett, Thomas Thüm und Malte Lochau
“Decades of GNU Patch and Git Cherry-Pick: Can We Do Better? – Summary”
Alexander Schultheiß, Alexander Boll, Paul Maximilian Bittner, Sandra Greiner, Thomas Thüm und Timo Kehrer
“Do Large Language Models Contain Software Architectural Knowledge? An Exploratory Case Study with GPT”
Mohamed Soliman und Jan Keim
“Do LLMs Generate Useful Test Oracles? An Empirical Study with an Unbiased Dataset”
Davide Molinelli, Luca Di Grazia, Alberto-Martin Lopez, Michael D. Ernst und Mauro Pezzè
“Does GenAI Make Usability Testing Obsolete?”
Ali Ebrahimi Pourasad und Walid Maalej
“Does the Tool Matter? Exploring Some Causes of Threats to Validity in Mining Software Repositories”
Nicole Hoess, Carlos Paradis, Rick Kazman und Wolfgang Mauerer
“Don’t Settle for the First! How Many GitHub Copilot Solutions Should You Check?
Julian Oertel, Jil Klünder und Regina Hebig
“E-Test: Ever-Improving Test Suites”
Ketai Qiu, Luca Di Grazia, Leonardo Mariani und Mauro Pezzè
“Efficient Domain Augmentation for Autonomous Driving Testing Using Diffusion Models”
Luciano Baresi, Davide Yi Xian Hu, Andrea Stocco und Paolo Tonella
“Enhancing Motivation in Software Engineering Education through Gamified Agile Project-based Learning”
Niklas Meißner, Paul Bredl, Sandro Speth und Steffen Becker
“Establishing Technical Debt Management – A Five-Step Workshop Approach and an Action Research Study”
Marion Wiese, Kamila Serwa, Anastasia M. Besier, Ariane S. Marion-Jetten und Eva Bittner
“Evolution Patterns of Software-Architecture Smells”
Philipp Gnoyke, Sandro Schulze und Jacob Krüger
“ExArch: Enabling Architecture Traceability by LLM-based Architecture Component Name Extraction”
Dominik Fuchß, Haoyu Liu, Tobias Hey, Jan Keim und Anne Koziolek
“Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations – Summary”
Pablo Valenzuela-Toledo, Chuyue Wu, Sandro Hernández, Alexander Boll, Roman Machacek, Sebastiano Panichella und Timo Kehrer
“Exploring Development Methods for Reactive Synthesis Specifications”
Dor Ma’Ayan, Shahar Maoz und Jan Oliver Ringert
“FANDANGO: Evolving Language-Based Testing”
José Antonio Zamudio Amaya, Marius Smytzek und Andreas Zeller
“From Prompts to Templates: A Systematic Prompt Template Analysis for Real-world LLMapps”
Yuetian Mao
“Gamifying Testing in IntelliJ: A Replicability Study”
Philipp Straubinger, Tommaso Fulcini, Giacomo Garaccione, Luca Ardito und Gordon Fraser
“Give an Inch and Take a Mile? Effects of Adding Reliable Knowledge to Heuristic Feature Tracing – Summary”
Sandra Greiner, Alexander Schultheiß, Paul Maximilian Bittner, Thomas Thüm und Timo Kehrer
“GUing: A Mobile GUI Search Engine using a Vision-Language Model”
Jialiang Wei, Anne-Lise Courbis, Thomas Lambolais, Binbin Xu, Pierre Louis Bernard, Gerard Dray und Walid Maalej
“How Configurable is the Linux Kernel? Analyzing Two Decades of Feature-Model History – Summary”
Elias Kuiter, Chico Sundermann, Thomas Thüm, Tobias Heß, Sebastian Krieter und Gunter Saake
“How do practitioners incorporate requirements and design decisions in LLM-assisted code generation?”
Jonathan Ullrich, Matthias Koch und Andreas Vogelsang
“How Do Programming Students Use Generative AI?”
Christian Rahe und Walid Maalej
“How Low Can We Go? Minimizing Interaction Samples for Configurable Systems – Summary”
Dominik Krupke, Ahmad Moradi, Michael Perk, Phillip Keldenich, Gabriel Gehrke, Sebastian Krieter, Thomas Thüm und Sándor P. Fekete
“How ML Practitioners Perceive Explainability: An Interview Study of Practices and Challenges”
Umm E Habiba, Mohammad Kasra Habib, Justus Bogner, Jonas Fritzsch und Stefan Wagner
“How Toxic Can You Get? Search-based Toxicity Testing for Large Language Models”
Simone Corbo, Luca Bancale, Valeria De Gennaro, Livia Lestingi, Vincenzo Scotti und Matteo Camilli
“Interruptibility of Software Developers and Its Prediction Using Psycho-Physiological Sensors: A Replication”
Florian Poreba und Stefan Sobernig
“Investigating the Readability of Test Code: Combining Scientific and Practical View”
Dietmar Winkler, Pirmin Urbanke und Rudolf Ramler
“Learning Program Behavioral Models from Synthesized Input-Output Pairs”
Tural Mammadov, Dietrich Klakow, Alexander Koller und Andreas Zeller
“Linking Software System Artifacts: Toward Generic Traceability Link Recovery through Retrieval-Augmented Generation”
Dominik Fuchß, Tobias Hey, Jan Keim, Haoyu Liu, Niklas Ewald, Tobias Thirolf und Anne Koziolek
“Machine Learning–Based Mitigation of Confidentiality Violations in Software Architectures”
Nils Niehues, Sebastian Hahner und Robert Heinrich
“Measuring the Fidelity of a Physical and a Digital Twin Using Trace Alignments”
Paula Muñoz, Manuel Wimmer, Javier Troya und Antonio Vallecillo
“Metamorphic Testing for Optimisation: A Case Study on PID Controller Tuning”
Alejandra Duque-Torres, Claus Klammer, Stefan Fischer, Rudolf Ramler und Dietmar Pfahl
“MMDFast: Efficient Understanding of Machine Learning Model Mispredictions”
Martin Eberlein, Jürgen Cito und Lars Grunske
“Model Cards Revisited: Bridging the Gap Between Theory and Practice for Ethical AI Requirements “
Tim Puhlfürß, Julia Butzke und Walid Maalej
“Model-based Proactive Self-Adaptation for Cloud Systems”
Raphael Straub, Sarah Stieß, Steffen Becker und Matthias Tichy
“Mutation-Based Integration Testing of Knowledge Graph Applications (Summary)”
Tobias John, Einar Broch Johnsen und Eduard Kamburjan
“Off-the-Shelf Cooperative Software Verification by Splitting Programs Dynamically”
Cedric Richter, Marek Chalupa, Marie-Christine Jakobs und Heike Wehrheim
“On the Expressive Power of Languages for Static Variability – Summary”
Paul Maximilian Bittner, Alexander Schultheiß, Benjamin Moosherr, Jeffrey Young, Leopoldo Teixeira, Eric Walkingshaw, Parisa Ataei und Thomas Thüm
“Optimierung von automatisierten und manuellen Software-Tests in der industriellen Praxis: Eine Umfrage und historische Analyse”
Roman Haas, Raphael Nömmer, Elmar Juergens und Sven Apel
“Parametric Falsification of Many Probabilistic Requirements under Flakiness”
Matteo Camilli und Raffaela Mirandola
“Predicting Failures in Smart Human-Centric Ecosystems”
Niccolò Puccinelli, Davide Molinelli, Noura El Moussa, Matteo Ciniselli und Mauro Pezzè
“Providing Information About Implemented Algorithms Improves Program Comprehension: A Controlled Experiment”
Denis Neumüller, Alexander Raschke und Matthias Tichy
“Refactoring with Confidence: An Assistant for Repair- Integrated Refactoring in Block-based Industrial Models (Summary)”
Michael Oberlehner, Bianca Wiesmayr und Alois Zoitl
“Reusing d-DNNFs for Efficient Feature-Model Counting – Summary”
Chico Sundermann, Heiko Raab, Tobias Heß, Thomas Thüm und Ina Schaefer
“Safe Mixed-Consistency Local-First Software with Invariants”
Mirko Köhler, George Zakhour, Pascal Weisenburger und Guido Salvaneschi
“SecCityVR: Visualization and Collaborative Exploration of Software Vulnerabilities in Virtual Reality”
Dennis Wüppelmann und Enes Yigitbas
“Seeing is Fixing: Cross-Modal Reasoning with Multimodal LLMs for Visual Software Issue Repair”
Kai Huang
“Semantic Zoom and Mini-Maps for Software Cities”
Malte Hansen, Jens Bamberg, Noe Baumann und Wilhelm Hasselbring
“Statically Analyzing the Dataflow of R Programs”
Florian Sihler und Matthias Tichy
“Summary of Large Language Models for In-File Vulnerability Localization Can Be“Lost in the End” (FSE2025)”
Francesco Sovrano und Alberto Bacchelli
“TAEFuzz: Automatic Fuzzing for Image-based Deep Learning Systems via Transferable Adversarial Examples”
Shunhui Ji, Changrong Huang, Bin Ren, Hai Dong, Lars Grunske, Yan Xiao und Pengcheng Zhang
“The Good, the Bad, and the Uncanny: Investigating Diversity Aspects of LLM-Generated Personas for Requirements Engineering – Summary”
Christopher Lazik, Charlotte Kauter, Inês Nunes, Aaron Ziglowski, Alina Pryma, Christopher Katins, Lars Grunske und Thomas Kosch
“The Testing Gaps in Infrastructure as Code Programs”
Daniel Sokolowski, David Spielmann und Guido Salvaneschi
“Too Many Issues: Automatically Prioritizing Analyzer Findings by Tracing Security Importance (Summary)”
Sven Peldszus, Katharina Großer, Marco Konersmann, Wasja Brunotte, Maike Ahrens, Kurt Schneider und Jan Jürjens
“Toward a Theory on Programmer’s Block inspired by Writer’s Block (Kurzfassung)”
Belinda Schantong, Norbert Siegmund und Janet Siegmund
“Using Analysis Coupling to Detect Information Flow Security Vulnerabilities”
Frederik Reiche, Ralf Reussner und Robert Heinrich