Saved in:
| Main Authors: | Pister, Kaiser, Paul, Dhruba Jyoti, Brophy, Patrick, Joshi, Ishan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2402.16932 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
An Empirically-grounded tool for Automatic Prompt Linting and Repair: A Case Study on Bias, Vulnerability, and Optimization in Developer Prompts
by: Rzig, Dhia Elhaq, et al.
Published: (2025)
by: Rzig, Dhia Elhaq, et al.
Published: (2025)
SCOPE: A Dataset of Stereotyped Prompts for Counterfactual Fairness Assessment of LLMs
by: Parziale, Alessandra, et al.
Published: (2026)
by: Parziale, Alessandra, et al.
Published: (2026)
Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories
by: Tafreshipour, Mahan, et al.
Published: (2024)
by: Tafreshipour, Mahan, et al.
Published: (2024)
Prompt Alchemy: Automatic Prompt Refinement for Enhancing Code Generation
by: Ye, Sixiang, et al.
Published: (2025)
by: Ye, Sixiang, et al.
Published: (2025)
From Prompts to Templates: A Systematic Prompt Template Analysis for Real-world LLMapps
by: Mao, Yuetian, et al.
Published: (2025)
by: Mao, Yuetian, et al.
Published: (2025)
Green Prompt Engineering: Investigating the Energy Impact of Prompt Design in Software Engineering
by: De Martino, Vincenzo, et al.
Published: (2025)
by: De Martino, Vincenzo, et al.
Published: (2025)
Evaluating Large Language Models for Code Translation: Effects of Prompt Language and Prompt Design
by: Aljagthami, Aamer, et al.
Published: (2025)
by: Aljagthami, Aamer, et al.
Published: (2025)
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)
by: Santana Jr, E. G., et al.
Published: (2025)
Prompting for Automatic Log Template Extraction
by: Xu, Junjielong, et al.
Published: (2023)
by: Xu, Junjielong, et al.
Published: (2023)
Are Prompts All You Need? Evaluating Prompt-Based Large Language Models (LLM)s for Software Requirements Classification
by: Binkhonain, Manal, et al.
Published: (2025)
by: Binkhonain, Manal, et al.
Published: (2025)
PromptPex: Automatic Test Generation for Language Model Prompts
by: Sharma, Reshabh K, et al.
Published: (2025)
by: Sharma, Reshabh K, et al.
Published: (2025)
Code-Aware Prompting: A study of Coverage Guided Test Generation in Regression Setting using LLM
by: Ryan, Gabriel, et al.
Published: (2024)
by: Ryan, Gabriel, et al.
Published: (2024)
What Prompts Don't Say: Understanding and Managing Underspecification in LLM Prompts
by: Yang, Chenyang, et al.
Published: (2025)
by: Yang, Chenyang, et al.
Published: (2025)
Prompt Engineering for Requirements Engineering: A Literature Review and Roadmap
by: Huang, Kaicheng, et al.
Published: (2025)
by: Huang, Kaicheng, et al.
Published: (2025)
Classifier or Prompt: A Case Study on Legal Requirements Traceability
by: Etezadi, Romina, et al.
Published: (2025)
by: Etezadi, Romina, et al.
Published: (2025)
Predictive Prompt Analysis
by: Lee, Jae Yong, et al.
Published: (2025)
by: Lee, Jae Yong, et al.
Published: (2025)
Prompt Less, Smile More: MTP with Semantic Engineering in Lieu of Prompt Engineering
by: Dantanarayana, Jayanaka L., et al.
Published: (2025)
by: Dantanarayana, Jayanaka L., et al.
Published: (2025)
When Prompt Under-Specification Improves Code Correctness: An Exploratory Study of Prompt Wording and Structure Effects on LLM-Based Code Generation
by: AKLI, Amal, et al.
Published: (2026)
by: AKLI, Amal, et al.
Published: (2026)
On the Impact of Requirements Smells in Prompts: The Case of Automated Traceability
by: Vogelsang, Andreas, et al.
Published: (2025)
by: Vogelsang, Andreas, et al.
Published: (2025)
Promptware Engineering: Software Engineering for Prompt-Enabled Systems
by: Chen, Zhenpeng, et al.
Published: (2025)
by: Chen, Zhenpeng, et al.
Published: (2025)
Modularization is Better: Effective Code Generation with Modular Prompting
by: Pan, Ruwei, et al.
Published: (2025)
by: Pan, Ruwei, et al.
Published: (2025)
Prompts as Software Engineering Artifacts: A Research Agenda and Preliminary Findings
by: Villamizar, Hugo, et al.
Published: (2025)
by: Villamizar, Hugo, et al.
Published: (2025)
Multi-Sample Prompting and Actor-Critic Prompt Optimization for Diverse Synthetic Data Generation
by: El-Hajjami, Abdelkarim, et al.
Published: (2025)
by: El-Hajjami, Abdelkarim, et al.
Published: (2025)
From Specifications to Prompts: On the Future of Generative LLMs in Requirements Engineering
by: Vogelsang, Andreas
Published: (2024)
by: Vogelsang, Andreas
Published: (2024)
Zero-Shot Code Representation Learning via Prompt Tuning
by: Cui, Nan, et al.
Published: (2024)
by: Cui, Nan, et al.
Published: (2024)
Prompt-Enhanced Software Vulnerability Detection Using ChatGPT
by: Zhang, Chenyuan, et al.
Published: (2023)
by: Zhang, Chenyuan, et al.
Published: (2023)
Mobile Application Review Summarization using Chain of Density Prompting
by: Shrestha, Shristi, et al.
Published: (2025)
by: Shrestha, Shristi, et al.
Published: (2025)
Adapting Knowledge Prompt Tuning for Enhanced Automated Program Repair
by: Cai, Xuemeng, et al.
Published: (2025)
by: Cai, Xuemeng, et al.
Published: (2025)
Prompt Engineering or Fine-Tuning: An Empirical Assessment of LLMs for Code
by: Shin, Jiho, et al.
Published: (2023)
by: Shin, Jiho, et al.
Published: (2023)
Prompt Optimization for LLM Code Generation via Reinforcement Learning
by: Esfahani, Ali Mohammadi, et al.
Published: (2026)
by: Esfahani, Ali Mohammadi, et al.
Published: (2026)
Prompt Learning for Multi-Label Code Smell Detection: A Promising Approach
by: Liu, Haiyang, et al.
Published: (2024)
by: Liu, Haiyang, et al.
Published: (2024)
PromptDebt: A Comprehensive Study of Technical Debt Across LLM Projects
by: Aljohani, Ahmed, et al.
Published: (2025)
by: Aljohani, Ahmed, et al.
Published: (2025)
A Prompt-Based Framework for Loop Vulnerability Detection Using Local LLMs
by: Adeseye, Adeyemi, et al.
Published: (2026)
by: Adeseye, Adeyemi, et al.
Published: (2026)
Counting the Trees in the Forest: Evaluating Prompt Segmentation for Classifying Code Comprehension Level
by: Smith IV, David H., et al.
Published: (2025)
by: Smith IV, David H., et al.
Published: (2025)
Prompt-based Code Completion via Multi-Retrieval Augmented Generation
by: Tan, Hanzhuo, et al.
Published: (2024)
by: Tan, Hanzhuo, et al.
Published: (2024)
Combating Missed Recalls in E-commerce Search: A CoT-Prompting Testing Approach
by: Wu, Shengnan, et al.
Published: (2024)
by: Wu, Shengnan, et al.
Published: (2024)
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts
by: AlOmar, Eman Abdullah, et al.
Published: (2025)
by: AlOmar, Eman Abdullah, et al.
Published: (2025)
Sustainability Analysis of Prompt Strategies for SLM-based Automated Test Generation
by: Kumari, Pragati, et al.
Published: (2026)
by: Kumari, Pragati, et al.
Published: (2026)
From Prompting to Verification: How Experience Shapes Vibe Coding Practices
by: Fawzy, Ahmed, et al.
Published: (2026)
by: Fawzy, Ahmed, et al.
Published: (2026)
Guidelines to Prompt Large Language Models for Code Generation: An Empirical Characterization
by: Midolo, Alessandro, et al.
Published: (2026)
by: Midolo, Alessandro, et al.
Published: (2026)
Similar Items
-
An Empirically-grounded tool for Automatic Prompt Linting and Repair: A Case Study on Bias, Vulnerability, and Optimization in Developer Prompts
by: Rzig, Dhia Elhaq, et al.
Published: (2025) -
SCOPE: A Dataset of Stereotyped Prompts for Counterfactual Fairness Assessment of LLMs
by: Parziale, Alessandra, et al.
Published: (2026) -
Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories
by: Tafreshipour, Mahan, et al.
Published: (2024) -
Prompt Alchemy: Automatic Prompt Refinement for Enhancing Code Generation
by: Ye, Sixiang, et al.
Published: (2025) -
From Prompts to Templates: A Systematic Prompt Template Analysis for Real-world LLMapps
by: Mao, Yuetian, et al.
Published: (2025)