Imagen de Portada

PromptSet: A Programmer's Prompting Dataset

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Pister, Kaiser, Paul, Dhruba Jyoti, Brophy, Patrick, Joshi, Ishan
Formato:	Preprint
Publicado:	2024
Materias:	Software Engineering
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

An Empirically-grounded tool for Automatic Prompt Linting and Repair: A Case Study on Bias, Vulnerability, and Optimization in Developer Prompts
por: Rzig, Dhia Elhaq, et al.
Publicado: (2025)

SCOPE: A Dataset of Stereotyped Prompts for Counterfactual Fairness Assessment of LLMs
por: Parziale, Alessandra, et al.
Publicado: (2026)

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

Prompt Alchemy: Automatic Prompt Refinement for Enhancing Code Generation
por: Ye, Sixiang, et al.
Publicado: (2025)

From Prompts to Templates: A Systematic Prompt Template Analysis for Real-world LLMapps
por: Mao, Yuetian, et al.
Publicado: (2025)

Green Prompt Engineering: Investigating the Energy Impact of Prompt Design in Software Engineering
por: De Martino, Vincenzo, et al.
Publicado: (2025)

Evaluating Large Language Models for Code Translation: Effects of Prompt Language and Prompt Design
por: Aljagthami, Aamer, et al.
Publicado: (2025)

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

Prompting for Automatic Log Template Extraction
por: Xu, Junjielong, et al.
Publicado: (2023)

Are Prompts All You Need? Evaluating Prompt-Based Large Language Models (LLM)s for Software Requirements Classification
por: Binkhonain, Manal, et al.
Publicado: (2025)

Prompt Engineering for Requirements Engineering: A Literature Review and Roadmap
por: Huang, Kaicheng, et al.
Publicado: (2025)

Classifier or Prompt: A Case Study on Legal Requirements Traceability
por: Etezadi, Romina, et al.
Publicado: (2025)

PromptPex: Automatic Test Generation for Language Model Prompts
por: Sharma, Reshabh K, et al.
Publicado: (2025)

Code-Aware Prompting: A study of Coverage Guided Test Generation in Regression Setting using LLM
por: Ryan, Gabriel, et al.
Publicado: (2024)

When Prompt Under-Specification Improves Code Correctness: An Exploratory Study of Prompt Wording and Structure Effects on LLM-Based Code Generation
por: AKLI, Amal, et al.
Publicado: (2026)

On the Impact of Requirements Smells in Prompts: The Case of Automated Traceability
por: Vogelsang, Andreas, et al.
Publicado: (2025)

Promptware Engineering: Software Engineering for Prompt-Enabled Systems
por: Chen, Zhenpeng, et al.
Publicado: (2025)

Modularization is Better: Effective Code Generation with Modular Prompting
por: Pan, Ruwei, et al.
Publicado: (2025)

What Prompts Don't Say: Understanding and Managing Underspecification in LLM Prompts
por: Yang, Chenyang, et al.
Publicado: (2025)

Prompts as Software Engineering Artifacts: A Research Agenda and Preliminary Findings
por: Villamizar, Hugo, et al.
Publicado: (2025)

Predictive Prompt Analysis
por: Lee, Jae Yong, et al.
Publicado: (2025)

Prompt Less, Smile More: MTP with Semantic Engineering in Lieu of Prompt Engineering
por: Dantanarayana, Jayanaka L., et al.
Publicado: (2025)

From Specifications to Prompts: On the Future of Generative LLMs in Requirements Engineering
por: Vogelsang, Andreas
Publicado: (2024)

Zero-Shot Code Representation Learning via Prompt Tuning
por: Cui, Nan, et al.
Publicado: (2024)

Prompt-Enhanced Software Vulnerability Detection Using ChatGPT
por: Zhang, Chenyuan, et al.
Publicado: (2023)

Mobile Application Review Summarization using Chain of Density Prompting
por: Shrestha, Shristi, et al.
Publicado: (2025)

Adapting Knowledge Prompt Tuning for Enhanced Automated Program Repair
por: Cai, Xuemeng, et al.
Publicado: (2025)

Prompt Engineering or Fine-Tuning: An Empirical Assessment of LLMs for Code
por: Shin, Jiho, et al.
Publicado: (2023)

Prompt Optimization for LLM Code Generation via Reinforcement Learning
por: Esfahani, Ali Mohammadi, et al.
Publicado: (2026)

Prompt Learning for Multi-Label Code Smell Detection: A Promising Approach
por: Liu, Haiyang, et al.
Publicado: (2024)

PromptDebt: A Comprehensive Study of Technical Debt Across LLM Projects
por: Aljohani, Ahmed, et al.
Publicado: (2025)

A Prompt-Based Framework for Loop Vulnerability Detection Using Local LLMs
por: Adeseye, Adeyemi, et al.
Publicado: (2026)

Multi-Sample Prompting and Actor-Critic Prompt Optimization for Diverse Synthetic Data Generation
por: El-Hajjami, Abdelkarim, et al.
Publicado: (2025)

Combating Missed Recalls in E-commerce Search: A CoT-Prompting Testing Approach
por: Wu, Shengnan, et al.
Publicado: (2024)

Prompt-based Code Completion via Multi-Retrieval Augmented Generation
por: Tan, Hanzhuo, et al.
Publicado: (2024)

ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts
por: AlOmar, Eman Abdullah, et al.
Publicado: (2025)

Sustainability Analysis of Prompt Strategies for SLM-based Automated Test Generation
por: Kumari, Pragati, et al.
Publicado: (2026)

From Prompting to Verification: How Experience Shapes Vibe Coding Practices
por: Fawzy, Ahmed, et al.
Publicado: (2026)

Guidelines to Prompt Large Language Models for Code Generation: An Empirical Characterization
por: Midolo, Alessandro, et al.
Publicado: (2026)

Heterogeneous Prompting and Execution Feedback for SWE Issue Test Generation and Selection
por: Ahmed, Toufique, et al.
Publicado: (2025)