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Viggiato, Markos
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1

Leveraging the OPT Large Language Model for Sentiment Analy..:

Viggiato, Markos ; Bezemer, Cor-Paul
IEEE Transactions on Games.  16 (2024)  2 - p. 493-496 , 2024
Link: https://doi.org/10.1109/..
 
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2

Prioritizing Natural Language Test Cases Based on Highly-Us..:

, In: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering,
Viggiato, Markos ; Paas, Dale ; Bezemer, Cor-Paul - p. 1961-1972 , 2023
Link: https://dl.acm.org/doi/1..
 
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3

A Taxonomy of Testable HTML5 Canvas Issues:

Macklon, Finlay ; Viggiato, Markos ; Romanova, Natalia...
IEEE Transactions on Software Engineering.  , 2023
Link: https://doi.org/10.1109/..
 
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4

Identifying Similar Test Cases That Are Specified in Natura..:

Viggiato, Markos ; Paas, Dale ; Buzon, Chris.
IEEE Transactions on Software Engineering.  49 (2023)  3 - p. 1027-1043 , 2023
Link: https://doi.org/10.1109/..
 
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5

Using Natural Language Processing Techniques to Improve Man..:

, In: 2022 IEEE/ACM 44th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP),
Viggiato, Markos ; Paas, Dale ; Buzon, Chris. - p. 311-320 , 2022
Link: https://doi.org/10.1145/..
 
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6

Using natural language processing techniques to improve man..:

, In: Proceedings of the 44th International Conference on Software Engineering: Software Engineering in Practice,
Viggiato, Markos ; Paas, Dale ; Buzon, Chris. - p. 311-320 , 2022
Link: https://dl.acm.org/doi/1..
 
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7

Automatically Detecting Visual Bugs in HTML5 Canvas Games:

, In: Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering,
Macklon, Finlay ; Taesiri, Mohammad Reza ; Viggiato, Markos... - p. 1-11 , 2022
Link: https://dl.acm.org/doi/1..
 
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8

Mining Experts from Source Code Analysis: An Empirical Eval..:

Oliveira, Johnatan Alves ; Viggiato, Markos ; Pinheiro, Denis.
Journal of Software Engineering Research and Development.  9 (2021)  - p. , 2021
Link: https://doi.org/10.5753/..
 
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9

Understanding machine learning software defect predictions:

Esteves, Geanderson ; Figueiredo, Eduardo ; Veloso, Adriano..
Automated Software Engineering.  27 (2020)  3-4 - p. 369-392 , 2020
Link: https://doi.org/10.1007/..
 
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10

Testing configurable software systems : the failure obse..:

, In: Proceedings of the 24th ACM Conference on Systems and Software Product Line: Volume A - Volume A,
Ferreira, Fischer ; Viggiato, Markos ; Souza, Maurício. - p. 1-6 , 2020
Link: https://dl.acm.org/doi/1..
 
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11

Predicting Software Defects with Explainable Machine Learni..:

, In: 19th Brazilian Symposium on Software Quality,
Santos, Geanderson ; Figueiredo, Eduardo ; Veloso, Adriano.. - p. 1-10 , 2020
Link: https://dl.acm.org/doi/1..
 
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12

How Well Do You Know This Library? : Mining Experts from..:

, In: Proceedings of the XVIII Brazilian Symposium on Software Quality,
Oliveira, Johnatan ; Viggiato, Markos ; Figueiredo, Eduardo - p. 49-58 , 2019
Link: https://dl.acm.org/doi/1..
 
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13

Understanding similarities and differences in software deve..:

, In: Proceedings of the 14th International Conference on Global Software Engineering,
Viggiato, Markos ; Oliveira, Johnatan ; Figueiredo, Eduardo.. - p. 74-84 , 2019
Link: https://dl.acm.org/doi/1..
 
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14

How Do Code Changes Evolve in Different Platforms? A Mining..:

, In: 2019 IEEE International Conference on Software Maintenance and Evolution (ICSME),
Viggiato, Markos ; Oliveira, Johnatan ; Figueiredo, Eduardo.. - p. 218-222 , 2019
Link: https://doi.org/10.1109/..
 
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15

Evaluating domain-specific metric thresholds : an empiri..:

, In: Proceedings of the 2018 International Conference on Technical Debt,
Mori, Allan ; Vale, Gustavo ; Viggiato, Markos... - p. 41-50 , 2018
Link: https://dl.acm.org/doi/1..
 
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