Copertina

Adapting Installation Instructions in Rapidly Evolving Software Ecosystems

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Gao, Haoyu, Treude, Christoph, Zahedi, Mansooreh
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Software Engineering
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

When AI Models Become Dependencies: Studying the Evolution of Pre-Trained Model Reuse in Downstream Software Systems
di: Banyongrakkul, Peerachai, et al.
Pubblicazione: (2026)

Documenting Ethical Considerations in Open Source AI Models
di: Gao, Haoyu, et al.
Pubblicazione: (2024)

From Release to Adoption: Challenges in Reusing Pre-trained AI Models for Downstream Developers
di: Banyongrakkul, Peerachai, et al.
Pubblicazione: (2025)

On Autopilot? An Empirical Study of Human-AI Teaming and Review Practices in Open Source
di: Gao, Haoyu, et al.
Pubblicazione: (2026)

Does My README File Need To Be Updated? Exploring LLM-Based README Maintenance
di: Gao, Haoyu, et al.
Pubblicazione: (2026)

AI Failures in the Eyes of the Downstream Developer: A First Look at Concerns, Practices, and Challenges
di: Gao, Haoyu, et al.
Pubblicazione: (2025)

Are You a Real Software Engineer? Best Practices in Online Recruitment for Software Engineering Studies
di: Alami, Adam, et al.
Pubblicazione: (2024)

Open Source Software Development Tool Installation: Challenges and Strategies For Novice Developers
di: Salerno, Larissa, et al.
Pubblicazione: (2024)

Qualitative Data Analysis in Software Engineering: Techniques and Teaching Insights
di: Treude, Christoph
Pubblicazione: (2024)

Gender Influence on Student Teams' Online Communication in Software Engineering Education
di: Garcia, Rita, et al.
Pubblicazione: (2025)

Accountable Agents in Software Engineering: An Analysis of Terms of Service and a Research Roadmap
di: Treude, Christoph
Pubblicazione: (2026)

AI Slop and the Software Commons
di: Baltes, Sebastian, et al.
Pubblicazione: (2026)

GenAI Is No Silver Bullet for Qualitative Research in Software Engineering
di: Ernst, Neil A., et al.
Pubblicazione: (2026)

Contributing Back to the Ecosystem: A User Survey of NPM Developers
di: Wattanakriengkrai, Supatsara, et al.
Pubblicazione: (2024)

Bot-Driven Development: From Simple Automation to Autonomous Software Development Bots
di: Treude, Christoph, et al.
Pubblicazione: (2024)

The Shift from Writing to Pruning Software: A Bonsai-Inspired IDE for Reshaping AI Generated Code
di: Kula, Raula Gaikovina, et al.
Pubblicazione: (2025)

"An Endless Stream of AI Slop": The Growing Burden of AI-Assisted Software Development
di: Baltes, Sebastian, et al.
Pubblicazione: (2026)

LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision and the Road Ahead
di: He, Junda, et al.
Pubblicazione: (2024)

Rethinking Artifact Evaluation for Software Engineering in the Age of Generative AI
di: Treude, Christoph, et al.
Pubblicazione: (2026)

Context Engineering for AI Agents in Open-Source Software
di: Mohsenimofidi, Seyedmoein, et al.
Pubblicazione: (2025)

Generative AI and Empirical Software Engineering: A Paradigm Shift
di: Treude, Christoph, et al.
Pubblicazione: (2025)

How Do Software Developers Use GitHub Actions to Automate Their Workflows?
di: Kinsman, Timothy, et al.
Pubblicazione: (2021)

Deterministic vs. Probabilistic Summarisation: An Empirical Trade-off Study in Design Pattern Centric Java Code
di: Nazar, Najam, et al.
Pubblicazione: (2026)

Prioritising GitHub Priority Labels
di: Caddy, James, et al.
Pubblicazione: (2024)

Enhancing Source Code Representations for Deep Learning with Static Analysis
di: Guan, Xueting, et al.
Pubblicazione: (2024)

Systematic Literature Review on Application of Learning-based Approaches in Continuous Integration
di: Arani, Ali Kazemi, et al.
Pubblicazione: (2024)

Software Process as a Service: Towards A Software Process Ecosystem
di: Greulich, Oliver, et al.
Pubblicazione: (2025)

Walking the Tightrope of LLMs for Software Development: A Practitioners' Perspective
di: Ferino, Samuel, et al.
Pubblicazione: (2025)

Fine-grained Approaches for Confidence Calibration of LLMs in Automated Code Revision
di: Lin, Hong Yi, et al.
Pubblicazione: (2026)

CodeReviewQA: The Code Review Comprehension Assessment for Large Language Models
di: Lin, Hong Yi, et al.
Pubblicazione: (2025)

Optimizing an IDE for an Evolving Language Ecosystem
di: Welc, Adam, et al.
Pubblicazione: (2026)

What Can Self-Admitted Technical Debt Tell Us About Security? A Mixed-Methods Study
di: Ferreyra, Nicolás E. Díaz, et al.
Pubblicazione: (2024)

Novice Developers' Perspectives on Adopting LLMs for Software Development: A Systematic Literature Review
di: Ferino, Samuel, et al.
Pubblicazione: (2025)

Interacting with AI Reasoning Models: Harnessing "Thoughts" for AI-Driven Software Engineering
di: Treude, Christoph, et al.
Pubblicazione: (2025)

Self-Admitted GenAI Usage in Open-Source Software
di: Xiao, Tao, et al.
Pubblicazione: (2025)

How Developers Interact with AI: A Taxonomy of Human-AI Collaboration in Software Engineering
di: Treude, Christoph, et al.
Pubblicazione: (2025)

Encoding Version History Context for Better Code Representation
di: Nguyen, Huy, et al.
Pubblicazione: (2024)

Do Comments and Expertise Still Matter? An Experiment on Programmers' Adoption of AI-Generated JavaScript Code
di: Li, Changwen, et al.
Pubblicazione: (2025)

Who Said CVE? How Vulnerability Identifiers Are Mentioned by Humans, Bots, and Agents in Pull Requests
di: Rooijendijk, Pien, et al.
Pubblicazione: (2026)

An Empirical Study of API Misuses of Data-Centric Libraries
di: Galappaththi, Akalanka, et al.
Pubblicazione: (2024)