Published January 3, 2024 | Version v2
Dataset Open

Dataset related to: An Empirical Study on Low Code Programming using Traditional vs Large Language Model Support

Authors/Creators

Description

This repository contains data and prompts related to our research. The files included are:

prompt.py: This script contains the original prompts used in our study.

LLM_lowcode.mx20: This file includes posts and annotation data related to LLM-based low-code platforms.

Traditional_lowcode.mx20: This file includes posts and annotation data related to traditional low-code platforms.

The .mx20 files can be opened using the MAXQDA software, which can be downloaded from the official website. MAXQDA offers a 14-day free trial.

Files

Files (28.4 MB)

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md5:31215807eb36064c018e46cc612b5b02
17.9 MB Download
md5:da185c6b8ee976376cd81ba3c9784c21
4.2 kB Download
md5:c3831e048b8117da554e50c996775b34
10.4 MB Download