Cover Image

Beyond the Comfort Zone: Emerging Solutions to Overcome Challenges in Integrating LLMs into Software Products

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nahar, Nadia, Kästner, Christian, Butler, Jenna, Parnin, Chris, Zimmermann, Thomas, Bird, Christian
Format:	Preprint
Published:	2024
Subjects:	Software Engineering Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Product Beyond the Model -- An Empirical Study of Repositories of Open-Source ML Products
by: Nahar, Nadia, et al.
Published: (2023)

Can GPT-4 Replicate Empirical Software Engineering Research?
by: Liang, Jenny T., et al.
Published: (2023)

Studying LLM Performance on Closed- and Open-source Data
by: Ahmed, Toufique, et al.
Published: (2024)

AI Where It Matters: Where, Why, and How Developers Want AI Support in Daily Work
by: Choudhuri, Rudrajit, et al.
Published: (2025)

To Copilot and Beyond: 22 AI Systems Developers Want Built
by: Choudhuri, Rudrajit, et al.
Published: (2026)

Breaking the Silence: the Threats of Using LLMs in Software Engineering
by: Sallou, June, et al.
Published: (2023)

Hardness, Structural Knowledge, and Opportunity: An Analytical Framework for Modular Performance Modeling
by: Gheibi, Omid, et al.
Published: (2025)

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems
by: Hong, Yining, et al.
Published: (2025)

Agentic Pipelines in Embedded Software Engineering: Emerging Practices and Challenges
by: Sun, Simin, et al.
Published: (2026)

SpIDER: Spatially Informed Dense Embedding Retrieval for Software Issue Localization
by: Chaudhari, Shravan, et al.
Published: (2025)

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems
by: She, Yining, et al.
Published: (2025)

Productively Deploying Emerging Models on Emerging Platforms: A Top-Down Approach for Testing and Debugging
by: Feng, Siyuan, et al.
Published: (2024)

"Maybe We Need Some More Examples:" Individual and Team Drivers of Developer GenAI Tool Use
by: Miller, Courtney, et al.
Published: (2025)

Overcoming Challenges in Agile and DevOps Integration: A Qualitative Study
by: Fraislebem, Juliana, et al.
Published: (2026)

Applications and Challenges of Fairness APIs in Machine Learning Software
by: Das, Ajoy, et al.
Published: (2025)

Gender Dynamics in Software Engineering: Insights from Research on Concurrency Bug Reproduction
by: Zaman, Tarannum Shaila, et al.
Published: (2025)

Leveraging LLMs for Legacy Code Modernization: Challenges and Opportunities for LLM-Generated Documentation
by: Diggs, Colin, et al.
Published: (2024)

ZnTrack -- Data as Code
by: Zills, Fabian, et al.
Published: (2024)

Scalability and Maintainability Challenges and Solutions in Machine Learning: Systematic Literature Review
by: Shivashankar, Karthik, et al.
Published: (2025)

Quantum vs. Classical Machine Learning Algorithms for Software Defect Prediction: Challenges and Opportunities
by: Nadim, Md, et al.
Published: (2024)

Software Architecture Challenges in Integrating Hybrid Classical-Quantum Systems
by: Stirbu, Vlad, et al.
Published: (2023)

Identifying Factors Contributing to Bad Days for Software Developers: A Mixed Methods Study
by: Obi, Ike, et al.
Published: (2024)

Challenges and Paths Towards AI for Software Engineering
by: Gu, Alex, et al.
Published: (2025)

GEMS: Generative Expert Metric System through Iterative Prompt Priming
by: Cheng, Ti-Chung, et al.
Published: (2024)

FlexFringe: Modeling Software Behavior by Learning Probabilistic Automata
by: Verwer, Sicco, et al.
Published: (2022)

SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software Engineering?
by: Miserendino, Samuel, et al.
Published: (2025)

Are LLMs Correctly Integrated into Software Systems?
by: Shao, Yuchen, et al.
Published: (2024)

pyAKI -- An Open Source Solution to Automated KDIGO classification
by: Porschen, Christian, et al.
Published: (2024)

Product Manager Practices for Delegating Work to Generative AI: "Accountability must not be delegated to non-human actors"
by: Ulloa, Mara, et al.
Published: (2025)

Software Product Line Engineering: Adoption, Tooling and AI Era Challenges
by: Nazar, Najam
Published: (2026)

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories
by: Tafreshipour, Mahan, et al.
Published: (2024)

LLMs in Coding and their Impact on the Commercial Software Engineering Landscape
by: Belozerov, Vladislav, et al.
Published: (2025)

Pinning Is Futile: You Need More Than Local Dependency Versioning to Defend against Supply Chain Attacks
by: He, Hao, et al.
Published: (2025)

(Why) Is My Prompt Getting Worse? Rethinking Regression Testing for Evolving LLM APIs
by: Ma, Wanqin, et al.
Published: (2023)

Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks
by: Tao, Hongyuan, et al.
Published: (2025)

Beyond ChatGPT: Enhancing Software Quality Assurance Tasks with Diverse LLMs and Validation Techniques
by: Widyasari, Ratnadira, et al.
Published: (2024)

Challenges for Inclusion in Software Engineering: The Case of the Emerging Papua New Guinean Society
by: Kula, Raula Gaikovina, et al.
Published: (2019)

Exploring Data Management Challenges and Solutions in Agile Software Development: A Literature Review and Practitioner Survey
by: Fawzy, Ahmed, et al.
Published: (2024)

Finding Missed Code Size Optimizations in Compilers using LLMs
by: Italiano, Davide, et al.
Published: (2024)

The Impact of AI-Generated Solutions on Software Architecture and Productivity: Results from a Survey Study
by: Amasanti, Giorgio, et al.
Published: (2025)