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Markos Viggiato
Markos Viggiato
NLP Applied Scientist, LexCheck
Dirección de correo verificada de ualberta.ca - Página principal
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Understanding machine learning software defect predictions
G Esteves, E Figueiredo, A Veloso, M Viggiato, N Ziviani
Automated Software Engineering 27 (3), 369-392, 2020
912020
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
732018
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
352018
What Causes Wrong Sentiment Classifications of Game Reviews?
M Viggiato, D Lin, A Hindle, CP Bezemer
IEEE Transactions on Games, 2021
332021
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
242019
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
222022
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
222018
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
212020
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
192019
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
142019
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
142019
Using Natural Language Processing Techniques to Improve Manual Test Case Descriptions
M Viggiato, D Paas, C Buzon, CP Bezemer
122022
Trouncing in Dota 2: An Investigation of Blowout Matches
M Viggiato, CP Bezemer
16th AAAI Conference on Artificial Intelligence and Interactive Digital …, 2020
102020
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
92022
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
82021
Leveraging the OPT Large Language Model for Sentiment Analysis of Game Reviews
M Viggiato, CP Bezemer
IEEE Transactions on Games, 2023
52023
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
42020
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
32023
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
32017
A taxonomy of HTML5 canvas bugs
F Macklon, M Viggiato, N Romanova, C Buzon, D Paas, CP Bezemer
arXiv preprint arXiv:2201.07351, 2022
12022
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