Sahar Tahvili is a senior data scientist at Ericsson and also a postdoctoral 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:

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)

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)

sOrTES: A Supportive Tool for Stochastic Scheduling of Manual Integration Test Cases (Jan 2019)
Sahar Tahvili, Rita Pimentel , Wasif Afzal, Marcus Ahlberg , Eric Fornander , Markus Bohlin
Journal of IEEE Access (ACCESS)

Project Title	Status
IMPRINT - Innovative Model-Based Product Integration Testing (Vinnova)	finished
ITS-EASY Post Graduate School for Embedded Software and Systems	active
MegaMaRt2 - Megamodelling at Runtime (ECSEL/Vinnova)	finished
TESTOMAT Project - The Next Level of Test Automation	active
XIVT - eXcellence in Variant Testing	active

PhD students supervised as assistant supervisor:

Cristina Landin

MSc theses supervised (or examined):

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

We are using cookies to give you the best experience on our site. Cookies are files stored in your browser and are used by most websites to help personalise your web experience.

By continuing to use our website without changing the settings, you are agreeing to our use of cookies.

close

Mälardalen University

|

Box 325, 631 05 Eskilstuna

|

Box 883, 721 23 Västerås

|

+46-21-10 13 00, +46-16-15 36 00