Datasets & Software
To foster transparency and collaboration within the software engineering community, and in support to Open Science practices, I share bellow my datasets and tools to facilitate replication, reuse, and verification.
Contains all files, scripts, and instructions needed to replicate the data collection and analysis process for gathering and analyzing grey literature articles about empathy in software engineering from DEV.to and Medium, as well as a follow-up expert survey used to assess the resulting framework. Supplementary material of the paper "Exploring Empathy in Software Engineering: Insights from a Grey Literature Analysis of Practitioners’ Perspectives" published at ACM Transactions on Software Engineering and Methodology (TOSEM). RCR Report available at https://doi.org/10.1145/3771771
RAG-Coder is a Python-based framework for semi-automating the qualitative analysis of open-ended survey data using Retrieval-Augmented Generation (RAG) strategies. The framework is part of the paper: “RAG-Coder: A Framework for Augmenting Qualitative Analysis in Empirical Software Engineering” by Lidiany Cerqueira and Renan Guerra, 2025.
This repository contains the datasets, scripts, and materials derived from the dissertation. The data is organized into three folders, each corresponding to a chapter.
CERCA is an open-source research tool that supports verification of bibliographic references in scientific manuscripts. It extracts references from PDF files and checks their existence and consistency against authoritative metadata sources, producing explainable diagnostics, audit logs, and reproducible reports.
Analysis Spreadsheet: Software Engineering and Project Management Forums on Stack Exchange đź“Š Dataset
This dataset contains the results of a thematic analysis conducted on discussions from two Stack Exchange communities: Software Engineering and Project Management. The analysis explores developers’ perceptions of productivity challenges, their impacts on well-being, and the effects on technical tasks. It is intended to support further research in software engineering, human factors, productivity studies, and qualitative analysis of practitioner discussions. It suplemments the paper "“Frustrating, Stressful, and Overwhelming”: Insights into Software Practitioners’ Productivity from Stack Exchange Discussions" published at SBES'25.
Supplementary material of the paper "A Thematic Synthesis on Empathy in Software Engineering based on the Practitioners' Perspective" (DOI https://doi.org/10.1145/3613372.3613407) accepted at the Research Track of the XXXVII Brazilian Symposium on Software Engineering (SBES 2023). Recognized with the Artifacts Available Badge at the OpenScienSE 2023 Workshop and a Distinguished Paper Award @ SBES'23.