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Found 4 papers, 1 papers with code
The Impact of Prompt Programming on Function-Level Code Generation
In this study, we introduce CodePromptEval, a dataset of 7072 prompts designed to evaluate five prompt techniques (few-shot, persona, chain-of-thought, function signature, list of packages) and their effect on the correctness, similarity, and quality of complete functions generated by three LLMs (GPT-4o, Llama3, and Mistral).
From Human-to-Human to Human-to-Bot Conversations in Software Engineering
We compile existing conversation attributes with humans and NLU-based chatbots and adapt them to the context of software development.
Beyond Code Generation: An Observational Study of ChatGPT Usage in Software Engineering Practice
Large Language Models (LLMs) are frequently discussed in academia and the general public as support tools for virtually any use case that relies on the production of text, including software engineering.
Automated Support for Unit Test Generation: A Tutorial Book Chapter
To illustrate how AI can support unit testing, this chapter introduces the concept of search-based unit test generation.
