Saved in:
| Main Authors: | Pöttgen, Daniel, Sadeghi, Mersedeh, Unterbusch, Max, Vogelsang, Andreas |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.05721 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SmartEx: A Framework for Generating User-Centric Explanations in Smart Environments
by: Sadeghi, Mersedeh, et al.
Published: (2024)
by: Sadeghi, Mersedeh, et al.
Published: (2024)
V-SHiNE: A Virtual Smart Home Framework for Explainability Evaluation
by: Sadeghi, Mersedeh, et al.
Published: (2026)
by: Sadeghi, Mersedeh, et al.
Published: (2026)
Generating Context-Aware Contrastive Explanations in Rule-based Systems
by: Herbold, Lars, et al.
Published: (2024)
by: Herbold, Lars, et al.
Published: (2024)
From Facts to Foils: Designing and Evaluating Counterfactual Explanations for Smart Environments
by: Trapp, Anna, et al.
Published: (2025)
by: Trapp, Anna, et al.
Published: (2025)
Context-Adaptive Requirements Defect Prediction through Human-LLM Collaboration
by: Unterbusch, Max, et al.
Published: (2026)
by: Unterbusch, Max, et al.
Published: (2026)
Description and Comparative Analysis of QuRE: A New Industrial Requirements Quality Dataset
by: Femmer, Henning, et al.
Published: (2025)
by: Femmer, Henning, et al.
Published: (2025)
Prompts as Software Engineering Artifacts: A Research Agenda and Preliminary Findings
by: Villamizar, Hugo, et al.
Published: (2025)
by: Villamizar, Hugo, et al.
Published: (2025)
From Specifications to Prompts: On the Future of Generative LLMs in Requirements Engineering
by: Vogelsang, Andreas
Published: (2024)
by: Vogelsang, Andreas
Published: (2024)
From Requirements to Code: Understanding Developer Practices in LLM-Assisted Software Engineering
by: Ullrich, Jonathan, et al.
Published: (2025)
by: Ullrich, Jonathan, et al.
Published: (2025)
Requirements Engineering for Research Software: A Vision
by: Bajraktari, Adrian, et al.
Published: (2024)
by: Bajraktari, Adrian, et al.
Published: (2024)
Rethinking Artifact Evaluation for Software Engineering in the Age of Generative AI
by: Treude, Christoph, et al.
Published: (2026)
by: Treude, Christoph, et al.
Published: (2026)
Enhancing Understandability and Transparency of Research Software: Tracing Research to Code
by: Bajraktari, Adrian, et al.
Published: (2026)
by: Bajraktari, Adrian, et al.
Published: (2026)
Research Artifacts in Software Engineering Publications: Status and Trends
by: Liu, Mugeng, et al.
Published: (2024)
by: Liu, Mugeng, et al.
Published: (2024)
Automated Validation of LLM-based Evaluators for Software Engineering Artifacts
by: Fandina, Ora Nova, et al.
Published: (2025)
by: Fandina, Ora Nova, et al.
Published: (2025)
Reporting LLM Prompting in Automated Software Engineering: A Guideline Based on Current Practices and Expectations
by: Korn, Alexander, et al.
Published: (2026)
by: Korn, Alexander, et al.
Published: (2026)
DocFetch - Towards Generating Software Documentation from Multiple Software Artifacts
by: Venigalla, Akhila Sri Manasa, et al.
Published: (2025)
by: Venigalla, Akhila Sri Manasa, et al.
Published: (2025)
On Developing an Artifact-based Approach to Regulatory Requirements Engineering
by: Kosenkov, Oleksandr, et al.
Published: (2024)
by: Kosenkov, Oleksandr, et al.
Published: (2024)
Research Artifacts in Secondary Studies: A Systematic Mapping in Software Engineering
by: Huotala, Aleksi, et al.
Published: (2025)
by: Huotala, Aleksi, et al.
Published: (2025)
Using Large Language Models for Natural Language Processing Tasks in Requirements Engineering: A Systematic Guideline
by: Vogelsang, Andreas, et al.
Published: (2024)
by: Vogelsang, Andreas, et al.
Published: (2024)
Automatic Generation of Explainability Requirements and Software Explanations From User Reviews
by: Obaidi, Martin, et al.
Published: (2025)
by: Obaidi, Martin, et al.
Published: (2025)
An Explanation of Software Architecture Explanations
by: Rukmono, Satrio Adi, et al.
Published: (2025)
by: Rukmono, Satrio Adi, et al.
Published: (2025)
The State of Open Science in Software Engineering Research: A Case Study of ICSE Artifacts
by: Muttakin, Al, et al.
Published: (2026)
by: Muttakin, Al, et al.
Published: (2026)
Agent-Based Software Artifact Evaluation
by: Wu, Zhaonan, et al.
Published: (2026)
by: Wu, Zhaonan, et al.
Published: (2026)
Navigating the Complexity of Generative AI Adoption in Software Engineering
by: Russo, Daniel
Published: (2023)
by: Russo, Daniel
Published: (2023)
How do Software Engineering Researchers Use GitHub? An Empirical Study of Artifacts & Impact
by: Alrashedy, Kamel, et al.
Published: (2023)
by: Alrashedy, Kamel, et al.
Published: (2023)
Generative Software Engineering
by: Huang, Yuan, et al.
Published: (2024)
by: Huang, Yuan, et al.
Published: (2024)
Understanding Fairness in Software Engineering: Insights from Stack Exchange
by: Sesari, Emeralda, et al.
Published: (2024)
by: Sesari, Emeralda, et al.
Published: (2024)
An Empirical Study of Generative AI Adoption in Software Engineering
by: Giray, Görkem, et al.
Published: (2025)
by: Giray, Görkem, et al.
Published: (2025)
Digital Twins for Software Engineering Processes
by: Kimmel, Robin, et al.
Published: (2025)
by: Kimmel, Robin, et al.
Published: (2025)
Insights Towards Better Case Study Reporting in Software Engineering
by: Rico, Sergio
Published: (2024)
by: Rico, Sergio
Published: (2024)
Qualitative Data Analysis in Software Engineering: Techniques and Teaching Insights
by: Treude, Christoph
Published: (2024)
by: Treude, Christoph
Published: (2024)
Can LLMs Replace Manual Annotation of Software Engineering Artifacts?
by: Ahmed, Toufique, et al.
Published: (2024)
by: Ahmed, Toufique, et al.
Published: (2024)
SENAI: Towards Software Engineering Native Generative Artificial Intelligence
by: Saad, Mootez, et al.
Published: (2025)
by: Saad, Mootez, et al.
Published: (2025)
Gender Dynamics in Software Engineering: Insights from Research on Concurrency Bug Reproduction
by: Zaman, Tarannum Shaila, et al.
Published: (2025)
by: Zaman, Tarannum Shaila, et al.
Published: (2025)
AVIATE: Exploiting Translation Variants of Artifacts to Improve IR-based Traceability Recovery in Bilingual Software Projects
by: Sun, Kexin, et al.
Published: (2024)
by: Sun, Kexin, et al.
Published: (2024)
"Don't Be Afraid, Just Learn": Insights from Industry Practitioners to Prepare Software Engineers in the Age of Generative AI
by: Otten, Daniel, et al.
Published: (2026)
by: Otten, Daniel, et al.
Published: (2026)
Multi-Artifact Analysis of Self-Admitted Technical Debt in Scientific Software
by: Melin, Eric L., et al.
Published: (2026)
by: Melin, Eric L., et al.
Published: (2026)
A Research Roadmap for Augmenting Software Engineering Processes and Software Products with Generative AI
by: Amalfitano, Domenico, et al.
Published: (2025)
by: Amalfitano, Domenico, et al.
Published: (2025)
Teaching Survey Research in Software Engineering
by: Kalinowski, Marcos, et al.
Published: (2024)
by: Kalinowski, Marcos, et al.
Published: (2024)
Autonomous LLM-generated Feedback for Student Exercises in Introductory Software Engineering Courses
by: Metzger, Andreas
Published: (2026)
by: Metzger, Andreas
Published: (2026)
Similar Items
-
SmartEx: A Framework for Generating User-Centric Explanations in Smart Environments
by: Sadeghi, Mersedeh, et al.
Published: (2024) -
V-SHiNE: A Virtual Smart Home Framework for Explainability Evaluation
by: Sadeghi, Mersedeh, et al.
Published: (2026) -
Generating Context-Aware Contrastive Explanations in Rule-based Systems
by: Herbold, Lars, et al.
Published: (2024) -
From Facts to Foils: Designing and Evaluating Counterfactual Explanations for Smart Environments
by: Trapp, Anna, et al.
Published: (2025) -
Context-Adaptive Requirements Defect Prediction through Human-LLM Collaboration
by: Unterbusch, Max, et al.
Published: (2026)