ChatGPT Prompt Patterns for Improving Code Quality, Refactoring, Requirements Elicitation, and Software Design

Jules White, Sam Hays, Quchen Fu, Jesse Spencer-Smith, Douglas C. Schmidt
3/11/2023
cs.SEcs.AI

No confident code implementation found for this paper. 1 possible match can be shown below.

Abstract

This paper presents prompt design techniques for software engineering, in the form of patterns, to solve common problems when using large language models (LLMs), such as ChatGPT to automate common software engineering activities, such as ensuring code is decoupled from third-party libraries and simulating a web application API before it is implemented. This paper provides two contributions to research on using LLMs for software engineering. First, it provides a catalog of patterns for software engineering that classifies patterns according to the types of problems they solve. Second, it explores several prompt patterns that have been applied to improve requirements elicitation, rapid prototyping, code quality, refactoring, and system design.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 1 weaker match is hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

93% match2023

AI Coders Are Among Us: Rethinking Programming Language Grammar Towards Efficient Code Generation

85% match1 repo142024

The Prompt Canvas: A Literature-Based Practitioner Guide for Creating Effective Prompts in Large Language Models

85% match2024

Prompt Design and Engineering: Introduction and Advanced Methods

85% match2024

Rocks Coding, Not Development--A Human-Centric, Experimental Evaluation of LLM-Supported SE Tasks

85% match2024

Testing LLMs on Code Generation with Varying Levels of Prompt Specificity

84% match2023

Cite this paper

@article{white2023chatgpt,
  title  = {ChatGPT Prompt Patterns for Improving Code Quality, Refactoring, Requirements Elicitation, and Software Design},
  author = {Jules White and Sam Hays and Quchen Fu and Jesse Spencer-Smith and Douglas C. Schmidt},
  year   = {2023},
  eprint = {2303.07839},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2303.07839v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2303.07839.svg)](https://codeofpaper.com/paper/2303.07839)

Discussion