DANTES: Automating Detection and Refactoring of Test Smells

Test smells affect software quality and hinder code maintenance. Refactoring test code is the main way to address these problems. However, manually refactoring is not a simple task and is usually tedious and error-prone. This study aims to present dantes, a tool for automatically detecting and refactoring eleven different types of test smells. We introduce eleven original refactoring algorithms. We conducted a study to evaluate the tool from the perspective of perceived usefulness and ease of use. Results show that dantes is well received by professionals and academics in the field. Demo video: https://youtu.be/uc5G6JMXtBs

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Publication Details

Published
2025-09-22
DOI
https://doi.org/10.5753/sbes.2025.11611
Primary Topic
Software Engineering Research
Type
article
Field-Weighted Citation Impact
0.00

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article

DANTES: Automating Detection and Refactoring of Test Smells

Ivan Machado, Railana Santana, Daniel Ramos
Software Engineering Research
article

DANTES: Automating Detection and Refactoring of Test Smells

Ivan Machado, Railana Santana, Daniel Ramos
article en

Abstract

Test smells affect software quality and hinder code maintenance. Refactoring test code is the main way to address these problems. However, manually refactoring is not a simple task and is usually tedious and error-prone. This study aims to present dantes, a tool for automatically detecting and refactoring eleven different types of test smells. We introduce eleven original refactoring algorithms. We conducted a study to evaluate the tool from the perspective of perceived usefulness and ease of use. Results show that dantes is well received by professionals and academics in the field. Demo video: https://youtu.be/uc5G6JMXtBs

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado da Bahia
Openalex Percentile: Top 59%
Software Engineering Research
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