Leo Hatvani, Lecturer


Leo has published research in the domains of embedded systems, formal verification, and machine learning. His secondary interests are data visualization and human-computer interaction.

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Latest publications:

Performance Comparison of Two Deep Learning Algorithms in Detecting Similarities Between Manual Integration Test Cases (Oct 2020)
Cristina Landin, Leo Hatvani, Sahar Tahvili, Hugo Haggren , Martin Längkvist , Amy Loutfi , Anne Håkansson
The Fifteenth International Conference on Software Engineering Advances (ICSEA 2020)

A Novel Methodology to Classify Test Cases Using Natural Language Processing and Imbalanced Learning (Aug 2020)
Sahar Tahvili, Leo Hatvani, Enislay Ramentol , Rita Pimentel , Wasif Afzal, Francisco Herrera
Engineering Applications of Artificial Intelligence (EAAI)

Automated Functional Dependency Detection Between Test Cases Using Doc2Vec and Clustering (Apr 2019)
Sahar Tahvili, Leo Hatvani, Michael Felderer , Wasif Afzal, Markus Bohlin
The First IEEE International Conference On Artificial Intelligence Testing (AI Testing)

Cluster-Based Test Scheduling Strategies Using Semantic Relationships between Test Specifications (Jun 2018)
Sahar Tahvili, Leo Hatvani, Michael Felderer , Wasif Afzal, Mehrdad Saadatmand, Markus Bohlin
5th International Workshop on Requirements Engineering and Testing (RET'18)

Optimal Priority and Threshold Assignment for Fixed-priority Preemption Threshold Scheduling (Oct 2017)
Leo Hatvani, Sara Afshar, Reinder J. Bril
7th Embedded Operating Systems Workshop (EWiLi'17)

Schedulability using native non-preemptive groups on an AUTOSAR/OSEK platform with caches (Mar 2017)
Leo Hatvani, Reinder J. Bril, Sebastian Altmeyer
Design, Automation & Test in Europe Conference & Exhibition (DATE2017)