Published multiple papers including 'A Systematic Literature Review on Automated Log Abstraction Techniques' (IST, 2020), 'A large scale empirical study of the impact of Spaghetti Code and Blob anti-patterns on program comprehension' (IST, 2020), 'What should your run-time configuration framework do to help developers?' (EMSE, 2020), and 'Swarm Debugging: The collective intelligence on interactive debugging' (JSS, 2019).
Research Experience
Worked on Empirical Software Engineering, Software Quality, Debugging, Service-Oriented Architecture, Cloud Computing, and Agile Methods. Particularly contributed to Software Engineering for Computer Games.
Education
Postdoctoral Fellow, 2018, Concordia University; PhD in Computer Science, 2016, Federal University of Rio Grande do Sul; Master in Computer Science, 2009, Federal University of Rio Grande do Sul; Electrical Engineer, 2001, Federal University of Rio Grande do Sul.
Background
Associate Professor in the Department of Software Engineering and IT at École de Technologie Supérieure - ÉTS (Canada) since 2022. Main goal is to create theories and techniques to improve software engineers’ life. Research areas include Empirical Software Engineering, Software Quality, Debugging, Service-Oriented Architecture, Cloud Computing, and Agile Methods. Pioneered in Software Engineering for Computer Games and created Swarm Debugging, a new collaborative approach to support debugging activities.