Copertina

Prompts Are Programs Too! Understanding How Developers Build Software Containing Prompts

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Liang, Jenny T., Lin, Melissa, Rao, Nikitha, Myers, Brad A.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Software Engineering Artificial Intelligence Human-Computer Interaction
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Understanding Prompt Programming Tasks and Questions
di: Liang, Jenny T., et al.
Pubblicazione: (2025)

Prompt-with-Me: in-IDE Structured Prompt Management for LLM-Driven Software Engineering
di: Li, Ziyou, et al.
Pubblicazione: (2025)

Using an LLM to Help With Code Understanding
di: Nam, Daye, et al.
Pubblicazione: (2023)

Can Developers Prompt? A Controlled Experiment for Code Documentation Generation
di: Kruse, Hans-Alexander, et al.
Pubblicazione: (2024)

How Developers Interact with AI: A Taxonomy of Human-AI Collaboration in Software Engineering
di: Treude, Christoph, et al.
Pubblicazione: (2025)

Reading Between the Lines: Scalable User Feedback via Implicit Sentiment in Developer Prompts
di: Nam, Daye, et al.
Pubblicazione: (2025)

Beyond the Prompt: An Empirical Study of Cursor Rules
di: Jiang, Shaokang, et al.
Pubblicazione: (2025)

ACCESS: Prompt Engineering for Automated Web Accessibility Violation Corrections
di: Huang, Calista, et al.
Pubblicazione: (2024)

From Prompts to Propositions: A Logic-Based Lens on Student-LLM Interactions
di: Alfageeh, Ali, et al.
Pubblicazione: (2025)

LLARS: Enabling Domain Expert & Developer Collaboration for LLM Prompting, Generation and Evaluation
di: Steigerwald, Philipp, et al.
Pubblicazione: (2026)

From Prompt to Product: A Human-Centered Benchmark of Agentic App Generation Systems
di: Ortiz, Marcos, et al.
Pubblicazione: (2025)

Instruct or Interact? Exploring and Eliciting LLMs' Capability in Code Snippet Adaptation Through Prompt Engineering
di: Zhang, Tanghaoran, et al.
Pubblicazione: (2024)

Generating Proto-Personas through Prompt Engineering: A Case Study on Efficiency, Effectiveness and Empathy
di: Ayach, Fernando, et al.
Pubblicazione: (2025)

TableTalk: Scaffolding Spreadsheet Development with a Language Agent
di: Liang, Jenny T., et al.
Pubblicazione: (2025)

"I'm Not Reading All of That": Understanding Software Engineers' Level of Cognitive Engagement with Agentic Coding Assistants
di: Catalan, Carlos Rafael, et al.
Pubblicazione: (2026)

The Impact of LLM-Assistants on Software Developer Productivity: A Systematic Review and Mapping Study
di: Mohamed, Amr, et al.
Pubblicazione: (2025)

Professional Software Developers Don't Vibe, They Control: AI Agent Use for Coding in 2025
di: Huang, Ruanqianqian, et al.
Pubblicazione: (2025)

Single Conversation Methodology: A Human-Centered Protocol for AI-Assisted Software Development
di: Escobedo, Salvador D.
Pubblicazione: (2025)

Results-Actionability Gap: Understanding How Practitioners Evaluate LLM Products in the Wild
di: van der Maden, Willem, et al.
Pubblicazione: (2026)

Vibe Coding as a Reconfiguration of Intent Mediation in Software Development: Definition, Implications, and Research Agenda
di: Meske, Christian, et al.
Pubblicazione: (2025)

Understanding Documentation Use Through Log Analysis: An Exploratory Case Study of Four Cloud Services
di: Nam, Daye, et al.
Pubblicazione: (2023)

LLMs' Reshaping of People, Processes, Products, and Society in Software Development: A Comprehensive Exploration with Early Adopters
di: Tabarsi, Benyamin, et al.
Pubblicazione: (2025)

A Case Study Investigating the Role of Generative AI in Quality Evaluations of Epics in Agile Software Development
di: Geyer, Werner, et al.
Pubblicazione: (2025)

Pre-Filtering Code Suggestions using Developer Behavioral Telemetry to Optimize LLM-Assisted Programming
di: Awad, Mohammad Nour Al, et al.
Pubblicazione: (2025)

Debugging Without Error Messages: How LLM Prompting Strategy Affects Programming Error Explanation Effectiveness
di: Salmon, Audrey, et al.
Pubblicazione: (2025)

How Coding Agents Fail Their Users: A Large-Scale Analysis of Developer-Agent Misalignment in 20,574 Real-World Sessions
di: Tang, Ningzhi, et al.
Pubblicazione: (2026)

Software Vulnerability Management in the Era of Artificial Intelligence: An Industry Perspective
di: Kholoosi, M. Mehdi, et al.
Pubblicazione: (2025)

Human-In-the-Loop Software Development Agents
di: Takerngsaksiri, Wannita, et al.
Pubblicazione: (2024)

Gendered Prompting and LLM Code Review: How Gender Cues in the Prompt Shape Code Quality and Evaluation
di: Janzen, Lynn, et al.
Pubblicazione: (2026)

Interacting with AI Reasoning Models: Harnessing "Thoughts" for AI-Driven Software Engineering
di: Treude, Christoph, et al.
Pubblicazione: (2025)

Thoughtful Things: Building Human-Centric Smart Devices with Small Language Models
di: King, Evan, et al.
Pubblicazione: (2024)

A Measure Based Generalizable Approach to Understandability
di: Kushwaha, Vikas, et al.
Pubblicazione: (2025)

The Ann Arbor Architecture for Agent-Oriented Programming
di: Dong, Wei
Pubblicazione: (2025)

From Junior to Senior: Allocating Agency and Navigating Professional Growth in Agentic AI-Mediated Software Engineering
di: Feng, Dana, et al.
Pubblicazione: (2026)

Towards an Appropriate Level of Reliance on AI: A Preliminary Reliance-Control Framework for AI in Software Engineering
di: Ferino, Samuel, et al.
Pubblicazione: (2026)

From Correctness to Collaboration: Toward a Human-Centered Framework for Evaluating AI Agent Behavior in Software Engineering
di: Dong, Tao, et al.
Pubblicazione: (2025)

Is General-Purpose AI Reasoning Sensitive to Data-Induced Cognitive Biases? Dynamic Benchmarking on Typical Software Engineering Dilemmas
di: Sovrano, Francesco, et al.
Pubblicazione: (2025)

How Developers Choose Debugging Strategies for Challenging Web Application Defects
di: Arab, Maryam, et al.
Pubblicazione: (2025)

Understanding and supporting how developers prompt for LLM-powered code editing in practice
di: Nam, Daye, et al.
Pubblicazione: (2025)

Context Branching for LLM Conversations: A Version Control Approach to Exploratory Programming
di: Nanjundappa, Bhargav Chickmagalur, et al.
Pubblicazione: (2025)