Markos Viggiato

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 23

Top Topics

Sentiment Classification

Software Defect

Top Venues

IEEE Trans. Games

IEEE Trans. Software Eng.

Publications

Markos Viggiato, Cor-Paul Bezemer
Leveraging the OPT Large Language Model for Sentiment Analysis of Game Reviews. IEEE Trans. Games 16 (2) (2024)
Finlay Macklon, Markos Viggiato, Natalia Romanova, Chris Buzon, Dale Paas, Cor-Paul Bezemer
A Taxonomy of Testable HTML5 Canvas Issues. IEEE Trans. Software Eng. 49 (6) (2023)
Markos Viggiato, Dale Paas, Chris Buzon, Cor-Paul Bezemer
Identifying Similar Test Cases That Are Specified in Natural Language. IEEE Trans. Software Eng. 49 (3) (2023)
Markos Viggiato, Dale Paas, Cor-Paul Bezemer
Prioritizing Natural Language Test Cases Based on Highly-Used Game Features. ESEC/SIGSOFT FSE (2023)
Markos Viggiato, Dayi Lin, Abram Hindle, Cor-Paul Bezemer
What Causes Wrong Sentiment Classifications of Game Reviews? IEEE Trans. Games 14 (3) (2022)
Finlay Macklon, Markos Viggiato, Cor-Paul Bezemer, Natalia Romanova, Chris Buzon, Dale Paas
A Taxonomy of HTML5 Canvas Bugs. CoRR (2022)
Markos Viggiato, Dale Paas, Chris Buzon, Cor-Paul Bezemer
Using Natural Language Processing Techniques to Improve Manual Test Case Descriptions. ICSE (SEIP) (2022)
Finlay Macklon, Mohammad Reza Taesiri, Markos Viggiato, Stefan Antoszko, Natalia Romanova, Dale Paas, Cor-Paul Bezemer
Automatically Detecting Visual Bugs in HTML5 Games. CoRR (2022)
Finlay Macklon, Mohammad Reza Taesiri, Markos Viggiato, Stefan Antoszko, Natalia Romanova, Dale Paas, Cor-Paul Bezemer
Automatically Detecting Visual Bugs in HTML5 Canvas Games. ASE (2022)
Johnatan Oliveira, Markos Viggiato, Denis Pinheiro, Eduardo F. Morales
Mining Experts from Source Code Analysis: An Empirical Evaluation. J. Softw. Eng. Res. Dev. 9 (2021)
Markos Viggiato, Dale Paas, Chris Buzon, Cor-Paul Bezemer
Identifying Similar Test Cases That Are Specified in Natural Language. CoRR (2021)
Geanderson Esteves dos Santos, Eduardo Figueiredo, Adriano Veloso, Markos Viggiato, Nivio Ziviani
Understanding machine learning software defect predictions. Autom. Softw. Eng. 27 (3) (2020)
Fischer Ferreira, Markos Viggiato, Maurício R. de A. Souza, Eduardo Figueiredo
Testing configurable software systems: the failure observation challenge. SPLC (A) (2020)
Markos Viggiato, Cor-Paul Bezemer
Trouncing in Dota 2: An Investigation of Blowout Matches. AIIDE (2020)
Geanderson E. dos Santos, Eduardo Figueiredo, Adriano Veloso, Markos Viggiato, Nivio Ziviani
Predicting Software Defects with Explainable Machine Learning. SBQS (2020)
Markos Viggiato, Johnatan Oliveira, Eduardo Figueiredo, Pooyan Jamshidi, Christian Kästner
How Do Code Changes Evolve in Different Platforms? A Mining-based Investigation. CoRR (2019)
Johnatan Oliveira, Markos Viggiato, Eduardo Figueiredo
How Well Do You Know This Library?: Mining Experts from Source Code Analysis. SBQS (2019)
Markos Viggiato, Johnatan Oliveira, Eduardo Figueiredo, Pooyan Jamshidi, Christian Kästner
Understanding similarities and differences in software development practices across domains. ICGSE (2019)
Markos Viggiato, Johnatan Oliveira, Eduardo Figueiredo, Pooyan Jamshidi, Christian Kästner
How Do Code Changes Evolve in Different Platforms? A Mining-Based Investigation. ICSME (2019)
Allan Mori, Gustavo Vale, Markos Viggiato, Johnatan Oliveira, Eduardo Figueiredo, Elder Cirilo, Pooyan Jamshidi, Christian Kästner
Evaluating domain-specific metric thresholds: an empirical study. TechDebt@ICSE (2018)
Johnatan Oliveira, Markos Viggiato, Mateus F. Santos, Eduardo Figueiredo, Humberto Marques-Neto
An Empirical Study on the Impact of Android Code Smells on Resource Usage. SEKE (2018)
Markos Viggiato, Ricardo Terra, Henrique Rocha, Marco Tulio Valente, Eduardo Figueiredo
Microservices in Practice: A Survey Study. CoRR (2018)
Markos Viggiato, Johnatan Oliveira, Eduardo Figueiredo
On the Investigation of Domain-Sensitive Bad Smells in Information Systems. SBSI (2017)