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ZENODO
Other literature type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
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Highlight Test Code: ARTIFACT

Authors: MIRANDA, CHARLES; Avelino, Guilherme; Santos Neto, Pedro;

Highlight Test Code: ARTIFACT

Abstract

This repository contains the complete artifact package for the paper “Highlight Test Code: Visualizing the Co-Evolution of Test and Production Code in Software Repositories”, accepted at SBES 2025. The artifact includes: The complete source code of the Highlight Test Code tool, composed of a backend (Python/FastAPI) and a frontend (React), designed to analyze the evolution of test and production code in GitHub repositories. Scripts and heuristics for classifying test code, based on the method proposed by Gonzalez et al. (2017), with a demonstration notebook. A curated dataset of over 500 repositories, used in the empirical study to identify test co-evolution patterns. Raw and processed data used in the statistical analyses presented in the paper. The tool is executable locally and is also available as an online platform. The README file provides detailed instructions for installing and running both backend and frontend components, including environment requirements and example configurations. Researchers can use this package to reproduce our study, analyze new repositories, and explore co-evolution patterns using their own data.## Related PaperThis artifact is associated with the accepted paper: "Highlight Test Code: Visualizing the Co-Evolution of Test and Production Code in Software Repositories" [Preprint on Zenodo](https://zenodo.org/records/16756417/preview/SBES_tools_2025__Charles_.pdf?include_deleted=0)

Related Organizations
Keywords

Test code co-evolution, software testing, software repository mining

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green