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Prompted Software Engineering in the Era of AI Models

  • arXiv (Cornell University)
  • Cornell University
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Abstract

This paper introduces prompted software engineering (PSE), which integrates prompt engineering to build effective prompts for language-based AI models, to enhance the software development process. PSE enables the use of AI models in software development to produce high-quality software with fewer resources, automating tedious tasks and allowing developers to focus on more innovative aspects. However, effective prompts are necessary to guide software development in generating accurate, relevant, and useful responses, while mitigating risks of misleading outputs. This paper describes how productive prompts should be built throughout the software development cycle.

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Publication details

DOI
10.48550/arxiv.2311.03359
OpenAlex
W4388514228
Document type
preprint
Language
EN
Source
arXiv (Cornell University)
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