Markos Viggiato

Registered user since Wed 25 Apr 2018

Name:Markos Viggiato

Markos Viggiato is a PhD candidate at the Analytics of Software, GAmes And Repository Data (ASGAARD) lab, at the University of Alberta (Canada). His research interests include applied machine learning and natural language processing and understanding. Overall, he is interested in leveraging those techniques together with large-scale data to better understand how manual game testing can be more effective and efficient.

Affiliation:University of Alberta
Research interests:Natural Language Processing, Machine Learning, Computer Games, Software Engineering


ASE 2022 Author of Automatically Detecting Visual Bugs in HTML5 <canvas> Games within the Research Papers-track
ICSE 2022 Author of Using Natural Language Processing Techniques to Improve Manual Test Case Descriptions within the SEIP - Software Engineering in Practice-track
ICGSE 2019 Author of Understanding Similarities and Differences in Software Development Practices Across Domains within the ICGSE 2019 Research Papers-track
TechDebt 2018 Author of Evaluating Domain-Specific Metric Thresholds: An Empirical Study within the TechDebt 2018-track