Ghanem Soltana is a research associate at the Software Verification and Validation Laboratory (SVV). Ghanem’s research interests lie in modeling software systems, software quality assurance, testing, and automated test data generation through constraint solving.
Ghanem received his Ph.D. (conducted under the supervision of Prof. Lionel Briand and Dr. Mehrdad Sabetzadeh) in 2017. His doctoral work focused primarily on regulatory compliance, automated data generation, model-based simulation, and modeling and verification of legal requirements [in a project conducted in collaboration with CTIE (“Centre des technologies de l'information de l'Etat”). His thesis dissertation was entitled “A Model-Based Framework for Legal Policy Simulation and Compliance Checking”.
Ghanem received an M.Sc. in 2012 from the Higher Institute of Management of Tunis (ISG), Tunis. His master thesis was entitled “Auto-calibration for testing multi-agent based simulations”. This previous experience was centered on evolutionary computation, simulation, and multi-agent systems.
Thesis title: "A Model-Based Framework for Specification and Automated Verification of Compliance to the Tax Law". Thesis successfully defended on the 16th of February 2018 . PhD granted with an "Outstanding" grade. For more information click [here].
Thesis title: "Auto-calibration for the Validation of Multi-Agent Simulations".
I conduct applied research related to modeling software systems, software quality assurance, and testing. The core theme of my work is automated test data generation, constraint solving and automated model transformations.
Project: "An Optimization Framework for Model Transformation Testing: Errors Detection and Correction". Joint research with Missouri University of Science and Technology, USA. My role in the project has been to develop a novel evolutionary approach for combining test case generation with mutation analysis. This novel approach is based on competitive co-evolution, in which mutants and test cases co-evolve, influencing each other with the ultimate goal of generating high quality test cases for model transformations.
Project: Reverse-Engineering and Optimization of Tunisian Governments's Vehicle Fleet Management System. To watch a short demonstration click here.