Sahar Tahvili is an Operations Team Leader at Ericsson and also a Researcher at the software testing laboratory at Mälardalen University. Sahar holds a Ph.D.in Software Engineering from Mälardalen University 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.

Sahar’s research focuses on artificial intelligence (AI), advanced methods for testing complex software-intensive systems and designing decision support systems (DSS). Previously she worked as a senior researcher at Research Institutes of Sweden (RISE) with close industrial research collaboration with Bombardier transportation in Sweden.

Research areas:

Artificial Intelligence
Natural Language Processing
Software Testing
Decision Support Systems

[Show all publications]

Latest publications:

Artificial Intelligence Methods for Optimization of the Software Testing Process With Practical Examples and Exercises (Jun 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)

Project Title	Status
AIDOaRt - AI-augmented automation for efficient DevOps, a model-based framework for continuous development At RunTime in cyber-physical systems	active
IMPRINT - Innovative Model-Based Product Integration Testing (Vinnova)	finished
ITS-EASY Post Graduate School for Embedded Software and Systems	finished
MegaMaRt2 - Megamodelling at Runtime (ECSEL/Vinnova)	finished
TESTOMAT Project - The Next Level of Test Automation	finished
XIVT - eXcellence in Variant Testing	active

MSc theses supervised (or examined):

Thesis Title	Status
Guided Test Execution through Analysis of Test Case Dependencies	available

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