Cover Image

Does Documentation Matter? An Empirical Study of Practitioners' Perspective on Open-Source Software Adoption

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Imani, Aaron, Radmanesh, Shiva, Ahmed, Iftekhar, Moshirpour, Mohammad
Format:	Preprint
Published:	2024
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Investigating the Impact of Code Comment Inconsistency on Bug Introducing
by: Radmanesh, Shiva, et al.
Published: (2024)

Context Conquers Parameters: Outperforming Proprietary LLM in Commit Message Generation
by: Imani, Aaron, et al.
Published: (2024)

Inside Out: Uncovering How Comment Internalization Steers LLMs for Better or Worse
by: Imani, Aaron, et al.
Published: (2025)

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

An Empirical Study of Policy-as-Code Adoption in Open-Source Software Projects
by: Foalem, Patrick Loic, et al.
Published: (2026)

An Empirical Study on Automatically Detecting AI-Generated Source Code: How Far Are We?
by: Suh, Hyunjae, et al.
Published: (2024)

An Empirical Study of Generative AI Adoption in Software Engineering
by: Giray, Görkem, et al.
Published: (2025)

Role of CI Adoption in Mobile App Success: An Empirical Study of Open-Source Android Projects
by: Zhou, Xiaoxin, et al.
Published: (2026)

Does the Order of Fine-tuning Matter and Why?
by: Chen, Qihong, et al.
Published: (2024)

Unveiling Code Clone Patterns in Open Source VR Software: An Empirical Study
by: Chen, Huashan, et al.
Published: (2025)

An Empirical Study of GenAI Adoption in Open-Source Game Development: Tools, Tasks, and Developer Challenges
by: Chen, Xiang Echo, et al.
Published: (2025)

Practitioners Perspective on Motivators of Agile in Global Software Development
by: Akbar, Muhammad Azeem, et al.
Published: (2022)

It is Giving Major Satisfaction: Why Fairness Matters for Software Practitioners
by: Sesari, Emeralda, et al.
Published: (2024)

Is Multi-Agent Debate (MAD) the Silver Bullet? An Empirical Analysis of MAD in Code Summarization and Translation
by: Chun, Jina, et al.
Published: (2025)

Responsible AI in the Software Industry: A Practitioner-Centered Perspective
by: Leça, Matheus de Morais, et al.
Published: (2024)

Managing Security Issues in Software Containers: From Practitioners Perspective
by: Sroor, Maha, et al.
Published: (2025)

What Makes a Great Software Quality Assurance Engineer?
by: Farias, Roselane Silva, et al.
Published: (2024)

Initial Insights on MLOps: Perception and Adoption by Practitioners
by: Moreschi, Sergio, et al.
Published: (2024)

Explainability as a Compliance Requirement: What Regulated Industries Need from AI Tools for Design Artifact Generation
by: Shah, Syed Tauhid Ullah, et al.
Published: (2025)

Does Programming Language Matter? An Empirical Study of Fuzzing Bug Detection
by: Shirai, Tatsuya, et al.
Published: (2026)

Free Open Source Communities Sustainability: Does It Make a Difference in Software Quality?
by: Alami, Adam, et al.
Published: (2024)

Using LLMs in Software Design: An Empirical Study of GitHub and A Practitioner Survey
by: Wang, Yifei, et al.
Published: (2026)

Establishing Traceability Links between Release Notes & Software Artifacts: Practitioners' Perspectives
by: Nath, Sristy Sumana, et al.
Published: (2025)

An Exploratory Mixed-Methods Study on General Data Protection Regulation (GDPR) Compliance in Open-Source Software
by: Franke, Lucas, et al.
Published: (2024)

Characterizing Role Models in Software Practitioners' Career: An Interview Study
by: Sánchez-Gordón, Mary, et al.
Published: (2024)

Software Testing with Large Language Models: An Interview Study with Practitioners
by: Santana, Maria Deolinda, et al.
Published: (2025)

From Bias To Improved Prompts: A Case Study of Bias Mitigation of Clone Detection Models
by: Chen, QiHong, et al.
Published: (2025)

Managing Human-Centric Software Defects: Insights from GitHub and Practitioners' Perspectives
by: Chauhan, Vedant, et al.
Published: (2024)

Fixseeker: An Empirical Driven Graph-based Approach for Detecting Silent Vulnerability Fixes in Open Source Software
by: Cheng, Yiran, et al.
Published: (2025)

Emerging Trends in Software Architecture from the Practitioners Perspective: A Five Year Review
by: Su, Ruoyu, et al.
Published: (2025)

An Empirical Study of Security-Policy Related Issues in Open Source Projects
by: Kanaji, Rintaro, et al.
Published: (2025)

An Exploration Study on Developing Blockchain Systems the Practitioners Perspective
by: Aljedaani, Bakheet, et al.
Published: (2024)

Sandboxing Adoption in Open Source Ecosystems
by: Alhindi, Maysara, et al.
Published: (2024)

Which Prompting Technique Should I Use? An Empirical Investigation of Prompting Techniques for Software Engineering Tasks
by: Santana Jr, E. G., et al.
Published: (2025)

Human or LLM? A Comparative Study on Accessible Code Generation Capability
by: Suh, Hyunjae, et al.
Published: (2025)

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

An Empirical Study of Self-Admitted Technical Debt in Machine Learning Software
by: Bhatia, Aaditya, et al.
Published: (2023)

Measuring Software Development Waste in Open-Source Software Projects
by: Varanasi, Dhiraj SM, et al.
Published: (2024)

Measuring Software Innovation with Open Source Software Development Data
by: Brown, Eva Maxfield, et al.
Published: (2024)

Out of the Day Job: Perspectives of Industry Practitioners in Co-Design and Delivery of Software Engineering Courses
by: Daniel, Gillian, et al.
Published: (2025)