On the Investigation of Domain-Sensitive Bad Smells in Information Systems. - Markos Viggiato; Johnatan Oliveira; Eduardo Figueiredo 001 (SBSI, 2017)

Evaluating domain-specific metric thresholds: an empirical study. - Allan Mori; Gustavo Vale; Markos Viggiato; Johnatan Oliveira; Eduardo Figueiredo 001; Elder Cirilo; Pooyan Jamshidi; Christian Kästner (TechDebt@ICSE, 2018)

An Empirical Study on the Impact of Android Code Smells on Resource Usage. - Johnatan Oliveira; Markos Viggiato; Mateus F. Santos; Eduardo Figueiredo 001; Humberto Marques-Neto (SEKE, 2018)

Microservices in Practice: A Survey Study. - Markos Viggiato; Ricardo Terra; Henrique Rocha; Marco Túlio Valente; Eduardo Figueiredo 001 (CoRR, 2018)

Understanding similarities and differences in software development practices across domains. - Markos Viggiato; Johnatan Oliveira; Eduardo Figueiredo 001; Pooyan Jamshidi; Christian Kästner (ICGSE, 2019)

How Do Code Changes Evolve in Different Platforms? A Mining-Based Investigation. - Markos Viggiato; Johnatan Oliveira; Eduardo Figueiredo 001; Pooyan Jamshidi; Christian Kästner (ICSME, 2019)

How Well Do You Know This Library?: Mining Experts from Source Code Analysis. - Johnatan Oliveira; Markos Viggiato; Eduardo Figueiredo 001 (SBQS, 2019)

Trouncing in Dota 2: An Investigation of Blowout Matches. - Markos Viggiato; Cor-Paul Bezemer (AIIDE, 2020)

Predicting Software Defects with Explainable Machine Learning. - Geanderson E. dos Santos; Eduardo Figueiredo 001; Adriano Veloso; Markos Viggiato; Nivio Ziviani (SBQS, 2020)

Testing configurable software systems: the failure observation challenge. - Fischer Ferreira; Markos Viggiato; Maurício R. de A. Souza; Eduardo Figueiredo 001 (SPLC (A), 2020)

Understanding machine learning software defect predictions. - Geanderson Esteves dos Santos; Eduardo Figueiredo 001; Adriano Veloso; Markos Viggiato; Nivio Ziviani (Autom. Softw. Eng., 2020)

Mining Experts from Source Code Analysis: An Empirical Evaluation. - Johnatan Oliveira; Markos Viggiato; Denis Pinheiro; Eduardo F. Morales 001 (J. Softw. Eng. Res. Dev., 2021)

Using Natural Language Processing Techniques to Improve Manual Test Case Descriptions. - Markos Viggiato; Dale Paas; Chris Buzon; Cor-Paul Bezemer (ICSE (SEIP), 2022)

Automatically Detecting Visual Bugs in HTML5 Canvas Games. - Finlay Macklon; Mohammad Reza Taesiri; Markos Viggiato; Stefan Antoszko; Natalia Romanova; Dale Paas; Cor-Paul Bezemer (ASE, 2022)

A Taxonomy of HTML5 Canvas Bugs. - Finlay Macklon; Markos Viggiato; Cor-Paul Bezemer; Natalia Romanova; Chris Buzon; Dale Paas (CoRR, 2022)

Automatically Detecting Visual Bugs in HTML5 Games. - Finlay Macklon; Mohammad Reza Taesiri; Markos Viggiato; Stefan Antoszko; Natalia Romanova; Dale Paas; Cor-Paul Bezemer (CoRR, 2022)

What Causes Wrong Sentiment Classifications of Game Reviews? - Markos Viggiato; Dayi Lin; Abram Hindle; Cor-Paul Bezemer (IEEE Trans. Games, 2022)

Prioritizing Natural Language Test Cases Based on Highly-Used Game Features. - Markos Viggiato; Dale Paas; Cor-Paul Bezemer (ESEC/SIGSOFT FSE, 2023)

Identifying Similar Test Cases That Are Specified in Natural Language. - Markos Viggiato; Dale Paas; Chris Buzon; Cor-Paul Bezemer (IEEE Trans. Software Eng., 2023)

A Taxonomy of Testable HTML5 Canvas Issues. - Finlay Macklon; Markos Viggiato; Natalia Romanova; Chris Buzon; Dale Paas; Cor-Paul Bezemer (IEEE Trans. Software Eng., 2023)

Leveraging the OPT Large Language Model for Sentiment Analysis of Game Reviews. - Markos Viggiato; Cor-Paul Bezemer (IEEE Trans. Games, 2024)