:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Vos, Tanja E. J., van der Storm, Tijs, Serebrenik, Alexander, Briand, Lionel, Di Cosmo, Roberto, Bruel, J. -M, Combemale, Benoît
Format:	Preprint
Publié:	2026
Sujets:	Software Engineering
Accès en ligne:	https://arxiv.org/abs/2601.14861
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Ethics of Care for Software Engineering
par: Serebrenik, Alexander, et autres
Publié: (2026)

Software Heritage: Towards A New Era for Software Engineering, Cybersecurity, and AI
par: Di Cosmo, Roberto, et autres
Publié: (2025)

Towards a Science of Developer eXperience (DevX)
par: Combemale, Benoit
Publié: (2025)

Supporting the Software Pillar of Open Science: A framework for academic OSPOs in France
par: Di Cosmo, Roberto
Publié: (2025)

Software Heritage: Towards A New Era for Software Engineering, Cybersecurity, and AI
par: Di Cosmo, Roberto, et autres
Publié: (2025)

Teaching Empirical Methods at Eindhoven University of Technology
par: Serebrenik, Alexander, et autres
Publié: (2024)

Impostor Phenomenon as Human Debt: A Challenge to the Future of Software Engineering
par: Guenes, Paloma, et autres
Publié: (2026)

From Software Heritage to Code Commons: A Vision For Transparent And Responsible AI In Code-Based Model Training
par: Di Cosmo, Roberto, et autres
Publié: (2025)

Software Frugality in an Accelerating World: the Case of Continuous Integration
par: Perez, Quentin, et autres
Publié: (2024)

Political and Ideological Pressure in Software Engineering Research: The Case of DEI Backlash
par: Hyrynsalmi, Sonja M., et autres
Publié: (2026)

Fuzzing-based Mutation Testing of C/C++ Software in Cyber-Physical Systems
par: Lee, Jaekwon, et autres
Publié: (2025)

Software Pillar of Open Science: Challenges and Opportunities
par: Di Cosmo, Roberto, et autres
Publié: (2025)

Paris Call On Software Source Code From The 6/11/2018 UNESCO Expert Meeting
par: Di Cosmo, Roberto, et autres
Publié: (2020)

PolyDebug: A Framework for Polyglot Debugging
par: Houdaille, Philémon, et autres
Publié: (2025)

Ten Years Analysing Large Code Bases: A Perspective
par: Di Cosmo, Roberto
Publié: (2015)

Abstraction Engineering
par: Bencomo, Nelly, et autres
Publié: (2024)

Towards a Unifying Reference Model for Digital Twins of Cyber-Physical Systems
par: Pfeiffer, Jerome, et autres
Publié: (2025)

Engineering Resource-constrained Software Systems with DNN Components: a Concept-based Pruning Approach
par: Formica, Federico, et autres
Publié: (2026)

Learning Failure-Inducing Models for Testing Software-Defined Networks
par: Ollando, Raphaël, et autres
Publié: (2022)

SpaceTime Programming: Live and Omniscient Exploration of Code and Execution
par: Döderlein, Jean-Baptiste, et autres
Publié: (2026)

Drivora: A Unified and Extensible Infrastructure for Search-based Autonomous Driving Testing
par: Cheng, Mingfei, et autres
Publié: (2026)

HackRep: A Large-Scale Dataset of GitHub Hackathon Projects
par: Halmans, Sjoerd, et autres
Publié: (2026)

Did You Forkget It? Detecting One-Day Vulnerabilities in Open-source ForksWith Global History Analysis
par: Lefeuvre, Romain, et autres
Publié: (2025)

Mutation‐Guided Metamorphic Testing of Optimality in AI Planning
par: Quentin Mazouni, et autres
Publié: (2024)

Search-based DNN Testing and Retraining with GAN-enhanced Simulations
par: Attaoui, Mohammed Oualid, et autres
Publié: (2024)

LTM: Scalable and Black-box Similarity-based Test Suite Minimization based on Language Models
par: Pan, Rongqi, et autres
Publié: (2023)

Testing Updated Apps by Adapting Learned Models
par: Ngo, Chanh-Duc, et autres
Publié: (2023)

Legal Requirements Analysis
par: Abualhaija, Sallam, et autres
Publié: (2023)

Towards an Incident Management Framework in Proprietary Software Ecosystems
par: Costa, L. A., et autres
Publié: (2024)

Negativity in Self-Admitted Technical Debt: How Sentiment Influences Prioritization
par: Cassee, Nathan, et autres
Publié: (2025)

Mutation-Guided Unit Test Generation with a Large Language Model
par: Wang, Guancheng, et autres
Publié: (2025)

MOTIF: A tool for Mutation Testing with Fuzzing
par: Lee, Jaekwon, et autres
Publié: (2024)

LLM meets ML: Data-efficient Anomaly Detection on Unstable Logs
par: Hadadi, Fatemeh, et autres
Publié: (2024)

Hallucination to Consensus: Multi-Agent LLMs for End-to-End JUnit Test Generation
par: Xu, Qinghua, et autres
Publié: (2025)

Classifier or Prompt: A Case Study on Legal Requirements Traceability
par: Etezadi, Romina, et autres
Publié: (2025)

Learning-Guided Fuzzing for Testing Stateful SDN Controllers
par: Ollando, Raphaël, et autres
Publié: (2024)

TEASMA: A Practical Methodology for Test Adequacy Assessment of Deep Neural Networks
par: Abbasishahkoo, Amin, et autres
Publié: (2023)

Trace Diagnostics for Signal-based Temporal Properties
par: Boufaied, Chaima, et autres
Publié: (2022)

FlakyFix: Using Large Language Models for Predicting Flaky Test Fix Categories and Test Code Repair
par: Fatima, Sakina, et autres
Publié: (2023)

A Highly Efficient Diversity-based Input Selection for DNN Improvement Using VLMs
par: Abbasishahkoo, Amin, et autres
Publié: (2026)