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Markos Viggiato
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2020 – today
- 2024
- [j6]Markos Viggiato
, Cor-Paul Bezemer
Leveraging the OPT Large Language Model for Sentiment Analysis of Game Reviews. IEEE Trans. Games 16(2): 493-496 (2024) - 2023
- [j5]Markos Viggiato
Identifying Similar Test Cases That Are Specified in Natural Language. IEEE Trans. Software Eng. 49(3): 1027-1043 (2023) - [j4]Finlay Macklon
A Taxonomy of Testable HTML5 Canvas Issues. IEEE Trans. Software Eng. 49(6): 3647-3659 (2023) - [c12]Markos Viggiato
Prioritizing Natural Language Test Cases Based on Highly-Used Game Features. ESEC/SIGSOFT FSE 2023: 1961-1972 - 2022
- [j3]Markos Viggiato
What Causes Wrong Sentiment Classifications of Game Reviews? IEEE Trans. Games 14(3): 350-363 (2022) - [c11]Markos Viggiato, Dale Paas, Chris Buzon, Cor-Paul Bezemer
Using Natural Language Processing Techniques to Improve Manual Test Case Descriptions. ICSE (SEIP) 2022: 311-320 - [c10]Finlay Macklon
Automatically Detecting Visual Bugs in HTML5 Canvas Games. ASE 2022: 15:1-15:11 - [i5]Finlay Macklon, Markos Viggiato, Cor-Paul Bezemer, Natalia Romanova, Chris Buzon, Dale Paas:
A Taxonomy of HTML5 Canvas Bugs. CoRR abs/2201.07351 (2022) - [i4]Finlay Macklon, Mohammad Reza Taesiri, Markos Viggiato, Stefan Antoszko, Natalia Romanova, Dale Paas, Cor-Paul Bezemer
Automatically Detecting Visual Bugs in HTML5 Games. CoRR abs/2208.02335 (2022) - 2021
- [j2]Johnatan Oliveira, Markos Viggiato, Denis Pinheiro, Eduardo F. Morales:
Mining Experts from Source Code Analysis: An Empirical Evaluation. J. Softw. Eng. Res. Dev. 9: 1:1-1:16 (2021) - [i3]Markos Viggiato, Dale Paas, Chris Buzon, Cor-Paul Bezemer:
Identifying Similar Test Cases That Are Specified in Natural Language. CoRR abs/2110.07733 (2021) - 2020
- [j1]Geanderson Esteves dos Santos
Understanding machine learning software defect predictions. Autom. Softw. Eng. 27(3): 369-392 (2020) - [c9]Markos Viggiato, Cor-Paul Bezemer:
Trouncing in Dota 2: An Investigation of Blowout Matches. AIIDE 2020: 294-300 - [c8]Geanderson E. dos Santos, Eduardo Figueiredo, Adriano Veloso, Markos Viggiato, Nivio Ziviani:
Predicting Software Defects with Explainable Machine Learning. SBQS 2020: 18 - [c7]Fischer Ferreira, Markos Viggiato, Maurício R. de A. Souza, Eduardo Figueiredo:
Testing configurable software systems: the failure observation challenge. SPLC (A) 2020: 28:1-28:6
2010 – 2019
- 2019
- [c6]Markos Viggiato, Johnatan Oliveira, Eduardo Figueiredo, Pooyan Jamshidi
Understanding similarities and differences in software development practices across domains. ICGSE 2019: 74-84 - [c5]Markos Viggiato, Johnatan Oliveira, Eduardo Figueiredo, Pooyan Jamshidi, Christian Kästner:
How Do Code Changes Evolve in Different Platforms? A Mining-Based Investigation. ICSME 2019: 218-222 - [c4]Johnatan Oliveira, Markos Viggiato, Eduardo Figueiredo:
How Well Do You Know This Library?: Mining Experts from Source Code Analysis. SBQS 2019: 49-58 - [i2]Markos Viggiato, Johnatan Oliveira, Eduardo Figueiredo, Pooyan Jamshidi, Christian Kästner:
How Do Code Changes Evolve in Different Platforms? A Mining-based Investigation. CoRR abs/1910.11433 (2019) - 2018
- [c3]Allan Mori
Evaluating domain-specific metric thresholds: an empirical study. TechDebt@ICSE 2018: 41-50 - [c2]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: 314-313 - [i1]Markos Viggiato, Ricardo Terra, Henrique Rocha, Marco Túlio Valente, Eduardo Figueiredo:
Microservices in Practice: A Survey Study. CoRR abs/1808.04836 (2018) - 2017
- [c1]Markos Viggiato, Johnatan Oliveira, Eduardo Figueiredo:
On the Investigation of Domain-Sensitive Bad Smells in Information Systems. SBSI 2017: 388-395
Coauthor Index
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