| Understanding machine learning software defect predictions G Esteves, E Figueiredo, A Veloso, M Viggiato, N Ziviani Automated Software Engineering 27 (3), 369-392, 2020 | 91 | 2020 |
| Microservices in Practice: A Survey Study M Viggiato, R Terra, H Rocha, MT Valente, E Figueiredo VI Workshop on Software Visualization, Evolution and Maintenance, 2018 | 73 | 2018 |
| Evaluating domain-specific metric thresholds: an empirical study A Mori, G Vale, M Viggiato, J Oliveira, E Figueiredo, E Cirilo, P Jamshidi, ... Proceedings of the 2018 International Conference on Technical Debt, 41-50, 2018 | 35 | 2018 |
| What Causes Wrong Sentiment Classifications of Game Reviews? M Viggiato, D Lin, A Hindle, CP Bezemer IEEE Transactions on Games, 2021 | 33 | 2021 |
| How Well Do You Know This Library?: Mining Experts from Source Code Analysis J Oliveira, M Viggiato, E Figueiredo Proceedings of the XVIII Brazilian Symposium on Software Quality, 49-58, 2019 | 24 | 2019 |
| Identifying similar test cases that are specified in natural language M Viggiato, D Paas, C Buzon, CP Bezemer IEEE Transactions on Software Engineering 49 (3), 1027-1043, 2022 | 22 | 2022 |
| An Empirical Study on the Impact of Android Code Smells on Resource Usage J Oliveira, M Viggiato, M Santos, E Figueiredo, H Marques-Neto International Conference on Software Engineering & Knowledge Engineering (SEKE), 2018 | 22 | 2018 |
| Predicting software defects with explainable machine learning G Santos, E Figueiredo, A Veloso, M Viggiato, N Ziviani Proceedings of the XIX Brazilian Symposium on Software Quality, 1-10, 2020 | 21 | 2020 |
| Feature Changes in Source Code for Commit Classification Into Maintenance Activities RVR Mariano, GE dos Santos, M Viggiato, WC Brandão 18th IEEE International Conference On Machine Learning And Applications …, 2019 | 19 | 2019 |
| How Do Code Changes Evolve in Different Platforms? A Mining-based Investigation M Viggiato, J Oliveira, E Figueiredo, P Jamshidi, C Kästner 2019 IEEE International Conference on Software Maintenance and Evolution …, 2019 | 14 | 2019 |
| Understanding similarities and differences in software development practices across domains M Viggiato, J Oliveira, E Figueiredo, P Jamshidi, C Kästner 2019 ACM/IEEE 14th International Conference on Global Software Engineering …, 2019 | 14 | 2019 |
| Using Natural Language Processing Techniques to Improve Manual Test Case Descriptions M Viggiato, D Paas, C Buzon, CP Bezemer | 12 | 2022 |
| Trouncing in Dota 2: An Investigation of Blowout Matches M Viggiato, CP Bezemer 16th AAAI Conference on Artificial Intelligence and Interactive Digital …, 2020 | 10 | 2020 |
| Automatically Detecting Visual Bugs in HTML5 Canvas Games F Macklon, MR Taesiri, M Viggiato, S Antoszko, N Romanova, D Paas, ... Proceedings of the 37th IEEE/ACM International Conference on Automated …, 2022 | 9 | 2022 |
| Mining Experts from Source Code Analysis: An Empirical Evaluation JA Oliveira, M Viggiato, D Pinheiro, E Figueiredo Journal of Software Engineering Research and Development 9 (1), 1: 1-1: 16, 2021 | 8 | 2021 |
| Leveraging the OPT Large Language Model for Sentiment Analysis of Game Reviews M Viggiato, CP Bezemer IEEE Transactions on Games, 2023 | 5 | 2023 |
| Testing Configurable Software Systems: The Failure Observation Challenge F Ferreira, M Viggiato, M Souza, E Figueiredo The Systems and Software Product Line Conference (SPLC), 2020 | 4 | 2020 |
| A Taxonomy of Testable HTML5 Canvas Issues F Macklon, M Viggiato, N Romanova, C Buzon, D Paas, CP Bezemer IEEE Transactions on Software Engineering 49 (6), 3647-3659, 2023 | 3 | 2023 |
| On the Investigation of Domain-Sensitive Bad Smells in Information Systems M Viggiato, J Oliveira, E Figueiredo Proceedings of the XIII Brazilian Symposium in Information Systems (SBSI …, 2017 | 3 | 2017 |
| A taxonomy of HTML5 canvas bugs F Macklon, M Viggiato, N Romanova, C Buzon, D Paas, CP Bezemer arXiv preprint arXiv:2201.07351, 2022 | 1 | 2022 |
Eduardo FigueiredoFederal University of Minas Gerais (UFMG)Verified email at dcc.ufmg.br
