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