Tássio Guerreiro Antunes Virgínio

@professor

ifto.edu.br

https://researchid.co/tassiovirginio

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science

Scopus Publications

165

Scholar Citations

Scholar h-index

Scholar i10-index

Scopus Publications

How Aware Are We of Test Smells in Quantum Software Systems? A Preliminary Empirical Evaluation
Tássio Virgínio, Larissa Bastos, Carla Bezerra, Márcio Ribeiro, and Ivan Machado
ACM

An empirical evaluation of RAIDE: A semi-automated approach for test smells detection and refactoring
Railana Santana, Luana Martins, Tássio Virgínio, Larissa Rocha, Heitor Costa, and Ivan Machado
Elsevier BV

Refactoring Assertion Roulette and Duplicate Assert test smells: a controlled experiment

RAIDE: A tool for Assertion Roulette and Duplicate Assert identification and refactoring
Railana Santana, Luana Martins, Larissa Rocha, Tássio Virgínio, Adriana Cruz, Heitor Costa, and Ivan Machado
ACM
Test smells are fragments of code that can affect the comprehensibility and the maintainability of the test code. Preventing, detecting, and correcting test smells are tasks that may require a lot of effort, and might not scale to large-sized projects when carried out manually. Currently, there are many tools available to support test smells detection. However, they usually do not provide neither a user-friendly interface nor automated support for refactoring the test code to remove test smells. In this work, we propose RAIDE, an open-source and IDE-integrated tool. RAIDE assists testers with an environment for automated detection of lines of code affected by test smells, as well as a semi-automated refactoring for Java projects using the JUnit framework.

An empirical study of automatically-generated tests from the perspective of test smells
Tássio Virgínio, Luana Almeida Martins, Larissa Rocha Soares, Railana Santana, Heitor Costa, and Ivan Machado
ACM
Developing test code can be as or more expensive than developing production code. Commonly, developers use automated unit test generators to speed up software testing. The purpose of such tools is to shorten production time without decreasing code quality. Nonetheless, unit tests usually do not have a quality check layer above testing code, which might be hard to guarantee the quality of the generated tests. A strategy to verify the tests quality is to analyze the presence of test smells in test code. Test smells are characteristics in the test code that possibly indicate weaknesses in test design and implementation. Their presence could be used as a quality indicator. In this paper, we present an empirical study to analyze the quality of unit test code generated by automated test tools. We compare the tests generated by two tools (Randoop and Evo- Suite) with the existing unit test suite of twenty-one open-source Java projects. We analyze the unit test code to detect the presence of nineteen types of test smells. The results indicated significant differences in the unit test quality when comparing data from the automated unit test generators and existing unit test suites.

JNose: Java Test Smell Detector
Tássio Virgínio, Luana Martins, Larissa Rocha, Railana Santana, Adriana Cruz, Heitor Costa, and Ivan Machado
ACM
Several strategies have been proposed for test quality measurement and analysis. Code coverage is likely the most widely used one. It enables to verify the ability of a test case to cover as many source code branches as possible. Although code coverage has been widely used, novel strategies have been recently employed. It is the case of test smells analysis, which has been introduced as an affordable strategy to evaluate the quality of test code. Test smells are poor design choices in implementation, and their occurrence in test code might reduce the quality of test suites. Test smells identification is clearly dependent on tool support, otherwise it could become a cost-ineffective strategy. However, as far as we know, there is no tool that combines code coverage and test smells to address test quality measurement. In this work, we present the JNose Test, a tool aimed to analyze test suite quality in the perspective of test smells. JNose Test detects code coverage and software evolution metrics and a set of test smells throughout software versions.

On the influence of test smells on test coverage
Tássio Virgínio, Railana Santana, Luana Almeida Martins, Larissa Rocha Soares, Heitor Costa, and Ivan Machado
ACM
Software testing is a key practice in the software quality assurance process. Usually, the quality of a test is not analyzed before its execution, i.e., there are no tests to check the tests. When the quality of tests is not guaranteed, it may impair the quality of the software. Test Smells are an alternative to indicate problems in the test code that can affect test maintainability, more specifically readability and comprehension. This study investigates correlations between test coverage and test smells types. We also introduce the JNose Test, a tool to automate test smells detection. We analyzed 11 open source projects and detected 21 types of smells and 10 different test coverage metrics to each test class. We identified 63 out of 210 calculated correlations. Our results show that there is a relationship between test smells and test coverage, in which test smells may influence code coverage. Our findings might support software testers and help them understand the behavior and consequences of poorly written and designed tests.

RECENT SCHOLAR PUBLICATIONS

SNUTS.js: Sniffing Nasty Unit Test Smells in Javascript
LR Jhonatan Oliveira, Luigi Mateus, Tssio Virgnio
Simpsio Brasileiro de Engenharia de Software (SBES) 2024

How Aware Are We of Test Smells in Quantum Software Systems? A Preliminary Empirical Evaluation
T VIRGINIO, LR SOARES, B C, M Ribeiro, I MACHADO
Simpsio Brasileiro de Qualidade de Software 2024 2024

An empirical evaluation of RAIDE: A semi-automated approach for test smells detection and refactoring
R Santana, L Martins, T Virgnio, L Rocha, H Costa, I Machado
Science of Computer Programming 231, 103013 2024

An empirical evaluation of RAIDE: a semi-automated approach for test smells detection and refactoring
IM Railana Santana, Luana Martins, Tssio Virgnio, Larissa Rocha, Heitor Costa
https://doi.org/10.1016/j.scico.2023.103013 1 2023

Refactoring assertion roulette and duplicate assert test smells: a controlled experiment
R Santana, L Martins, T Virgnio, L Soares, H Costa, I Machado
arXiv preprint arXiv:2207.05539 2022

On the test smells detection: an empirical study on the jnose test accuracy
T Virgnio, L Martins, R Santana, A Cruz, H Costa, I Machado
Journal of Software Engineering 9, 8 2021

RAIDE: a tool for Assertion Roulette and Duplicate Assert identification and refactoring
R Santana, L Martins, L Rocha, T Virgnio, A Cruz, H Costa, I Machado
Proceedings of the XXXIV Brazilian Symposium on Software Engineering, 374-379 2020

Jnose: Java test smell detector
T Virgnio, L Martins, L Rocha, R Santana, A Cruz, H Costa, I Machado
Proceedings of the XXXIV Brazilian Symposium on Software Engineering, 564-569 2020

An empirical study of automatically-generated tests from the perspective of test smells
T Virgnio, LA Martins, LR Soares, R Santana, H Costa, I Machado
Proceedings of the XXXIV Brazilian Symposium on Software Engineering, 92-96 2020

Abertura do XXXIII Brazilian Symposium on Software Engineering
MA Gerosa, R Prikladnicki
Simpsio Brasileiro de Engenharia de Software (SBES) 2020

Avaliao emprica da gerao automatizada de testes de software sob a perspectiva de Test Smells
T Virgnio
Universidade Federal do Bahia 2020

On the influence of test smells on test coverage
T Virgnio, R Santana, LA Martins, LR Soares, H Costa, I Machado
Proceedings of the XXXIII Brazilian Symposium on Software Engineering, 467-471 2019

Construo De Um Blog Como Uma Ferramenta De Compartilhamento De Informaes E Na Promoo De Produtos Agrcolas
T Virgnio, EC Dias, CT Mesquita, WBL Jnior, BP Galeazzi, PL Rego
6 JICE-JORNADA DE INICIAO CIENTFICA E EXTENSO 2015

Implantao Da Indicao Geogrfica Como Alternativa Sustentvel Na Produo De Frutas No Sudeste Do Estado Do Tocantins
EC Dias, WBL Junior, TGA Virgnio, CT Mesquita
https://www.meioambientepocos.com.br/anais/ 2015

Elaborao De Um Selo Distintivo Da Produo De Frutas Do Projeto Manuel Alves Na Regio Sudeste Do Estado Do Tocantins
WBL Jnior, EC Dias, T Virgnio, CT Mesquita, KPS Siqueira
https://www.researchgate.net/profile/Wilmar-Borges-Leal-Junior/publication 2015

MOST CITED SCHOLAR PUBLICATIONS

Jnose: Java test smell detector
T Virgnio, L Martins, L Rocha, R Santana, A Cruz, H Costa, I Machado
Proceedings of the XXXIV Brazilian Symposium on Software Engineering, 564-569 2020
Citations: 48

On the influence of test smells on test coverage
T Virgnio, R Santana, LA Martins, LR Soares, H Costa, I Machado
Proceedings of the XXXIII Brazilian Symposium on Software Engineering, 467-471 2019
Citations: 33

On the test smells detection: an empirical study on the jnose test accuracy
T Virgnio, L Martins, R Santana, A Cruz, H Costa, I Machado
Journal of Software Engineering 9, 8 2021
Citations: 12

Refactoring assertion roulette and duplicate assert test smells: a controlled experiment
R Santana, L Martins, T Virgnio, L Soares, H Costa, I Machado
arXiv preprint arXiv:2207.05539 2022
Citations: 4

Avaliao emprica da gerao automatizada de testes de software sob a perspectiva de Test Smells
T Virgnio
Universidade Federal do Bahia 2020
Citations: 4