Imagen de Portada

What is a Feature, Really? Toward a Unified Understanding Across SE Disciplines

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Patkar, Nitish, Fahmi, Aimen, Kehrer, Timo, Seyff, Norbert
Formato:	Preprint
Publicado:	2025
Materias:	Software Engineering
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Diversity-guided Search Exploration for Self-driving Cars Test Generation through Frenet Space Encoding
por: Blattner, Timo, et al.
Publicado: (2024)

A Systematic Literature Review on a Decade of Industrial TLA+ Practice
por: Bögli, Roman, et al.
Publicado: (2024)

SensoDat: Simulation-based Sensor Dataset of Self-driving Cars
por: Birchler, Christian, et al.
Publicado: (2024)

The Hidden Costs of Automation: An Empirical Study on GitHub Actions Workflow Maintenance
por: Valenzuela-Toledo, Pablo, et al.
Publicado: (2024)

A Roadmap for Simulation-Based Testing of Autonomous Cyber-Physical Systems: Challenges and Future Direction
por: Birchler, Christian, et al.
Publicado: (2024)

Do Research Software Engineers and Software Engineering Researchers Speak the Same Language?
por: Kehrer, Timo, et al.
Publicado: (2025)

Testing Autonomous Driving Systems -- What Really Matters and What Doesn't
por: Li, Changwen, et al.
Publicado: (2025)

How does Simulation-based Testing for Self-driving Cars match Human Perception?
por: Birchler, Christian, et al.
Publicado: (2024)

Can We Make Code Green? Understanding Trade-Offs in LLMs vs. Human Code Optimizations
por: Rani, Pooja, et al.
Publicado: (2025)

Towards an Engineering Discipline for Resilient Cyber-Physical Systems
por: Caldas, Ricardo D.
Publicado: (2024)

Energy Patterns for Web: An Exploratory Study
por: Rani, Pooja, et al.
Publicado: (2024)

Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations
por: Valenzuela-Toledo, Pablo, et al.
Publicado: (2025)

Towards Integrating Emerging AI Applications in SE Education
por: Vierhauser, Michael, et al.
Publicado: (2024)

Toward a Better Understanding of Probabilistic Delta Debugging
por: Zhang, Mengxiao, et al.
Publicado: (2024)

Do RESTful API Design Rules Have an Impact on the Understandability of Web APIs? A Web-Based Experiment with API Descriptions
por: Bogner, Justus, et al.
Publicado: (2023)

Do AI Agents Really Improve Code Readability?
por: Horikawa, Kyogo, et al.
Publicado: (2026)

Towards a Unified Query Plan Representation
por: Ba, Jinsheng, et al.
Publicado: (2024)

Experimenting with Multi-Agent Software Development: Towards a Unified Platform
por: Sami, Malik Abdul, et al.
Publicado: (2024)

Towards a Unifying Reference Model for Digital Twins of Cyber-Physical Systems
por: Pfeiffer, Jerome, et al.
Publicado: (2025)

What You Need is What You Get: Theory of Mind for an LLM-Based Code Understanding Assistant
por: Richards, Jonan, et al.
Publicado: (2024)

Are "Solved Issues" in SWE-bench Really Solved Correctly? An Empirical Study
por: Wang, You, et al.
Publicado: (2025)

Towards Understanding the Bugs in Solidity Compiler
por: Ma, Haoyang, et al.
Publicado: (2024)

Is Stateful Fuzzing Really Challenging?
por: Daniele, Cristian
Publicado: (2024)

Toward Understanding Deep Learning Framework Bugs
por: Chen, Junjie, et al.
Publicado: (2022)

Towards Understanding What Code Language Models Learned
por: Ahmed, Toufique, et al.
Publicado: (2023)

Walk the Talk: Is Your Log-based Software Reliability Maintenance System Really Reliable?
por: He, Minghua, et al.
Publicado: (2025)

variability.dev: Towards an Online Toolbox for Feature Modeling
por: Heß, Tobias, et al.
Publicado: (2025)

Towards Better Static Code Analysis Reports: Sentence Transformer-based Filtering of Non-Actionable Alerts
por: Aladics, Tamás, et al.
Publicado: (2026)

Toward Understanding Bugs in Vector Database Management Systems
por: Xie, Yinglin, et al.
Publicado: (2025)

Towards an Understanding of Large Language Models in Software Engineering Tasks
por: Zheng, Zibin, et al.
Publicado: (2023)

Towards Understanding the Challenges of Bug Localization in Deep Learning Systems
por: Jahan, Sigma, et al.
Publicado: (2024)

Towards Understanding the Impact of Code Modifications on Software Quality Metrics
por: Karanikiotis, Thomas, et al.
Publicado: (2024)

Understanding and measuring software engineer behavior: What can we learn from the behavioral sciences?
por: Araújo, Allysson Allex, et al.
Publicado: (2024)

Toward Greener Background Processes -- Measuring Energy Cost of Autosave Feature
por: Küüsvek, Maria, et al.
Publicado: (2025)

Towards Emotionally Intelligent Software Engineers: Understanding Students' Self-Perceptions After a Cooperative Learning Experience
por: Araújo, Allysson Allex, et al.
Publicado: (2025)

Towards Understanding Views on Combining Videos and Gamification in Software Engineering Training
por: Peiris, Pasan, et al.
Publicado: (2026)

Toward an Understanding of Developer Behaviour while Using Bug Localization Tools
por: Pedreira, Pablo Diaz, et al.
Publicado: (2026)

CodeGlance: Understanding Code Reasoning Challenges in LLMs through Multi-Dimensional Feature Analysis
por: Wang, Yunkun, et al.
Publicado: (2026)

The Code Barrier: What LLMs Actually Understand?
por: Nikiema, Serge Lionel, et al.
Publicado: (2025)

Towards AI-Native Software Engineering (SE 3.0): A Vision and a Challenge Roadmap
por: Hassan, Ahmed E., et al.
Publicado: (2024)