Publications

Listed below are our peer-reviewed research publications around test smells:

• Luana Martins, Carla Bezerra, Heitor Costa, and Ivan Machado. 2021. Smart prediction for refactorings in the software test code. In Brazilian Symposium on Software Engineering. Association for Computing Machinery, New York, NY, USA, 115–120. DOI:https://doi.org/10.1145/3474624.3477070

• Tássio Virgínio, Luana Martins, Railana Santana, Adriana Cruz, Larissa Rocha, Heitor Costa, and Ivan Machado. On the test smells detection: an empirical study on the JNose Test accuracy. Journal of Software Engineering Research and Development, 9(1), 8:1 – 8:14. https://doi.org/10.5753/jserd.2021.1893

• Tássio Virgínio, Luana Martins, Larissa Rocha, Railana Santana, Adriana Cruz, Heitor Costa, and Ivan Machado. 2020. JNose: Java Test Smell Detector. In Proceedings of the 34th Brazilian Symposium on Software Engineering. Association for Computing Machinery, New York, NY, USA, 564–569. DOI:https://doi.org/10.1145/3422392.3422499

• Tássio Virgínio, Luana Almeida Martins, Larissa Rocha Soares, Railana Santana, Heitor Costa, and Ivan Machado. 2020. An empirical study of automatically-generated tests from the perspective of test smells. In Proceedings of the 34th Brazilian Symposium on Software Engineering. Association for Computing Machinery, New York, NY, USA, 92–96. DOI:https://doi.org/10.1145/3422392.3422412

• Tássio Virgínio, Railana Santana, Luana Almeida Martins, Larissa Rocha Soares, Heitor Costa, and Ivan Machado. 2019. On the influence of Test Smells on Test Coverage. In Proceedings of the XXXIII Brazilian Symposium on Software Engineering. Association for Computing Machinery, New York, NY, USA, 467–471. DOI:https://doi.org/10.1145/3350768.3350775