Mitchell Olsthoorn

Registered user since Wed 26 Aug 2020

Name:Mitchell Olsthoorn
Bio:

Mitchell Olsthoorn is a Ph.D. student in the Software Engineering Research Group (SERG) at Delft University of Technology. He is also a member of the Computational Intelligence for Software Engineering lab (CISELab) and the Blockchain lab. Mitchell holds an M.Sc. degree in Computer Science – with a specialization in Cyber Security and Blockchain. His interests include network security, computational intelligence, and pen-testing. Mitchell is currently working on Security testing for blockchain.

Country:Netherlands
Affiliation:Delft University of Technology
Research interests:Network Security, Search-based Software Engineering, Pen-testing

Contributions

SSBSE 2022 Session Chair of Session 3 (part of Research Papers)
Committee Member in Program Committee within the Research Papers-track
Author of Guess What: Test Case Generation for Javascript with Unsupervised Probabilistic Type Inference within the Research Papers-track
ASE 2022 Committee Member in Program Committee within the Artifact Evaluation-track
ICSE 2022 Author of SynTest-Solidity: Automated Test Case Generation and Fuzzing for Smart Contracts within the DEMO - Demonstrations-track
Author of More Effective Test Case Generation with Multiple Tribes of AI within the DS - Doctoral Symposium-track
ICST 2022 Committee Member in Program Committee within the Research Papers-track
Web Chair in Organizing Committee
ASE 2021 Author of Improving Test Case Generation for REST APIs Through Hierarchical Clustering within the Research Papers-track
Author of Improving Test Case Generation for REST APIs Through Hierarchical Clustering within the Artifact Evaluation-track
SSBSE 2021 Author of Hybrid Multi-level Crossover for Unit Test Case Generation within the Research Papers-track
Author of Multi-objective Test Case Selection Through Linkage Learning-driven Crossover within the Research Papers-track
ASE 2020 Author of Generating Highly-structured Input Data by Combining Search-based Testing and Grammar-based Fuzzing within the NIER track-track