Sahar Tahvili is a researcher at the software testing laboratory at Mälardalen University, who holds a Ph. D. in Software Engineering since 2018. Her doctoral thesis entitled " Multi-Criteria Optimization of System Integration Testing " was named one of the best new Software Integration Testing books by BookAuthority.
Research areas:
Artificial Intelligence Methods for Optimization of the Software Testing Process With Practical Examples and Exercises (Jul 2022) Sahar Tahvili, Leo Hatvani
A Dynamic Threshold Based Approach for Detecting the Test Limits (Oct 2021) Cristina Landin, Jie Liu , Sahar Tahvili The Sixteenth International Conference on Software Engineering Advances (ICSEA 2021)
Performance Analysis of Deep Anomaly Detection Algorithms for Commercial Microwave Link Attenuation (Oct 2020) Olof Engström , Sahar Tahvili, Auwn Muhammad , Forough Yaghoubi , Lissy Pellaco The 2020 International Conference on Advanced Computer Science and Information Systems (ICACSIS2020)
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)
Cluster-Based Parallel Testing Using Semantic Analysis (Apr 2020) Cristina Landin, Sahar Tahvili, Hugo Haggren , Martin Längkvist , Auwn Muhammad , Amy Loutfi The Second IEEE International Conference On Artificial Intelligence Testing (AITest 2020)
Thesis Title | Status |
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Guided Test Execution through Analysis of Test Case Dependencies | available |