Uso do ChatGPT para interpretar métricas de desempenho e gerar relatórios executivos, avaliando diferentes estratégias de prompting

LLM Performance Reporting Artifacts This repository contains the materials associated with the study: Using ChatGPT to Interpret Software Performance Metrics and Generate Executive Reports: An Evaluation of Prompting Strategies The repository provides both the experimental artifacts and the source code used to process the collected data and reproduce the analyses presented in the associated publication. Repository Structure llm-performance-reporting-artifacts/├── experimental-artifacts/├── data-analysis/└── README.md experimental-artifacts This directory contains the materials used during the experimental evaluation and documents the experimental protocol adopted in the study. It includes all resources required to understand how the experiment was conducted and how the language model was prompted. Contents: context/ – Experimental context provided to the language model before each execution. images/ – Performance graphs extracted from Apache JMeter and used as multimodal inputs. prompts/ – Prompt definitions for the Zero-Shot, Persona, and Template prompting strategies. survey/ – Survey questionnaire and anonymized participant responses. README.md – Documentation describing the experimental artifacts and their organization. data-analysis This directory contains the source code, datasets, and generated outputs used to process the collected data and reproduce the statistical analyses presented in the paper. Contents: data/ – Raw and processed datasets used during the analyses. outputs/ – Tables, figures, and statistical results generated by the analysis scripts. scripts/ – Python scripts for data preprocessing, statistical analysis, and figure generation. requirements.txt – Python dependencies required to execute the analysis scripts. README.md – Documentation describing the data analysis workflow and repository organization. Reproducibility This repository was created to promote transparency, reproducibility, and the replication of the study. It provides the experimental artifacts and the data analysis resources required to inspect the methodology and reproduce the results presented in the associated publication. Citation If you use these materials in your research, please cite both the associated publication and this Zenodo record. License This repository is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0). https://creativecommons.org/licenses/by/4.0/