Image de couverture de livre

One Size Fits All? An Empirical Comparison of ADR Templates regarding Comprehension, Usability, and Ease of Adoption

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Nogueira, Fernando, Silva, Nabson, Conte, Tayana
Format:	Preprint
Publié:	2026
Sujets:	Software Engineering
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A Catalog of Micro Frontends Anti-patterns
par: Silva, Nabson, et autres
Publié: (2024)

Bridging the Gap: Adapting Evidence to Decision Frameworks to support the link between Software Engineering academia and industry
par: Matsubara, Patricia G. F., et autres
Publié: (2026)

Teaching Requirements Engineering for AI: A Goal-Oriented Approach in Software Engineering Courses
par: Batista, Beatriz, et autres
Publié: (2024)

Investigating the Online Recruitment and Selection Journey of Novice Software Engineers: Anti-patterns and Recommendations
par: Setúbal, Miguel, et autres
Publié: (2024)

One Size Does Not Fit All: Investigating Efficacy of Perplexity in Detecting LLM-Generated Code
par: Xu, Jinwei, et autres
Publié: (2024)

Governance in Practice: How Open Source Projects Define and Document Roles
par: Oliveira, Pedro, et autres
Publié: (2026)

Pots of Gold at the End of the Rainbow: What is Success for Open Source Contributors?
par: Trinkenreich, Bianca, et autres
Publié: (2021)

One Documentation Does Not Fit All: Case Study of TensorFlow Documentation
par: Thirimanne, Sharuka Promodya, et autres
Publié: (2025)

An Empirical Study of Policy-as-Code Adoption in Open-Source Software Projects
par: Foalem, Patrick Loic, et autres
Publié: (2026)

An Empirical Study of Generative AI Adoption in Software Engineering
par: Giray, Görkem, et autres
Publié: (2025)

Context Matters: Evaluating Context Strategies for Automated ADR Generation Using LLMs
par: Gupta, Aviral, et autres
Publié: (2026)

When Security Meets Usability: An Empirical Investigation of Post-Quantum Cryptography APIs
par: Toruan, Marthin, et autres
Publié: (2026)

Does Documentation Matter? An Empirical Study of Practitioners' Perspective on Open-Source Software Adoption
par: Imani, Aaron, et autres
Publié: (2024)

Easing Maintenance of Academic Static Analyzers
par: Monat, Raphaël, et autres
Publié: (2024)

Real-World Usability of Vulnerability Proof-of-Concepts: A Comprehensive Study
par: Dang, Wenjing, et autres
Publié: (2025)

Empirical Study of the Docker Smells Impact on the Image Size
par: Durieux, Thomas
Publié: (2023)

Role of CI Adoption in Mobile App Success: An Empirical Study of Open-Source Android Projects
par: Zhou, Xiaoxin, et autres
Publié: (2026)

Comprehension vs. Adoption: Evaluating a Language Workbench Through a Family of Experiments
par: Broccia, Giovanna, et autres
Publié: (2026)

An Empirical Study of GenAI Adoption in Open-Source Game Development: Tools, Tasks, and Developer Challenges
par: Chen, Xiang Echo, et autres
Publié: (2025)

Modeling in Jjodel: Bridging Complexity and Usability in Model-Driven Engineering
par: Bucchiarone, Antonio, et autres
Publié: (2025)

From Prompts to Templates: A Systematic Prompt Template Analysis for Real-world LLMapps
par: Mao, Yuetian, et autres
Publié: (2025)

A Comprehensive Multi-Vocal Empirical Study of ML Cloud Service Misuses
par: Amor, Hadil Ben, et autres
Publié: (2025)

Usability as a Weapon: Attacking the Safety of LLM-Based Code Generation via Usability Requirements
par: Li, Yue, et autres
Publié: (2026)

Not All RAGs Are Created Equal: A Component-Wise Empirical Study for Software Engineering Tasks
par: Ke, Qiang, et autres
Publié: (2026)

A Comprehensive Empirical Evaluation of Agent Frameworks on Code-centric Software Engineering Tasks
par: Yin, Zhuowen, et autres
Publié: (2025)

Java JIT Testing with Template Extraction
par: Zang, Zhiqiang, et autres
Publié: (2024)

Prompting for Automatic Log Template Extraction
par: Xu, Junjielong, et autres
Publié: (2023)

Developer Perspectives on REST API Usability: A Study of REST API Guidelines
par: Peldszus, Sven, et autres
Publié: (2026)

Supporting Error Chains in Static Analysis for Precise Evaluation Results and Enhanced Usability
par: Wickert, Anna-Katharina, et autres
Publié: (2024)

Towards User-Focused Cross-Domain Testing: Disentangling Accessibility, Usability, and Fairness
par: Leça, Matheus de Morais, et autres
Publié: (2025)

Robustness, Security, Privacy, Explainability, Efficiency, and Usability of Large Language Models for Code
par: Yang, Zhou, et autres
Publié: (2024)

AdNanny: One Reasoning LLM for All Offline Ads Recommendation Tasks
par: Hu, Nan, et autres
Publié: (2026)

From Literature to Practice: Exploring Fairness Testing Tools for the Software Industry Adoption
par: Nguyen, Thanh, et autres
Publié: (2024)

Self-Admitted Technical Debt in LLM Software: An Empirical Comparison with ML and Non-ML Software
par: Selvanayagam, Niruthiha, et autres
Publié: (2026)

One Developer Is All You Need: A Case Study of an AI-Augmented One-Person Squad in a Brownfield Enterprise
par: Boas, Marcelo Vilas, et autres
Publié: (2026)

Is Reuse All You Need? A Systematic Comparison of Regular Expression Composition Strategies
par: Çakar, Berk, et autres
Publié: (2025)

One-for-All Does Not Work! Enhancing Vulnerability Detection by Mixture-of-Experts (MoE)
par: Yang, Xu, et autres
Publié: (2025)

Are We All Using Agents the Same Way? An Empirical Study of Core and Peripheral Developers Use of Coding Agents
par: Cynthia, Shamse Tasnim, et autres
Publié: (2026)

Cache-Related Smells in GitLab CI/CD: Comprehensive Catalog, Automated Detection, and Empirical Evidence
par: Urdih, Francesco, et autres
Publié: (2026)

Playing in the Sandbox: A Study on the Usability of Seccomp
par: Alhindi, Maysara, et autres
Publié: (2025)