Scholar
Gunel Jahangirova
Google Scholar ID: kQkXMS4AAAAJ
King's College London
Citations & Impact
Citations
1,411
H-index
15
i10-index
17
Publications
20
Co-authors
10
list available
Publications
Resume (English only)
Academic Achievements
- Publications: - DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score (ASE 2021) - DeepCrime: Mutation Testing of Deep Learning Systems based on Real Faults (ISSTA 2021) - GAssert: A Fully Automated Tool to Improve Assertion Oracles (ICSE 2021 Demonstrations Track) - Quality Metrics and Oracles for Autonomous Vehicles Testing (ICST 2021 Research Track)
- Organizations: - Co-organized the first edition of the International Workshop on Test Oracles (TOracle) co-located with ESEC/FSE 2021 - Co-organized the third edition of DeepTest Workshop with ICSE 2021
- Program Committees: - ISSTA 2023 (Research Track) - ICSE 2024 (Research Track) - ICST 2023 (Research Track) - FSE 2023 (Research Track) - Board of Distinguished Reviewers of ACM TOSEM - ICPC 2022 (Replications and Negative Results Track) - ICSME 2022 (Research Track) - ICSE 2023 (Research Track) - ADEVOPS4IoTSYS 2022 - Mutation Workshop co-located with ICST 2022 - ICTSS 2021 - ESEC/FSE 2021 Ideas, Visions and Reflections Track - ICSME 2021 Research Track
Research Experience
- Worked as a PostDoctoral Researcher at the Software Institute of Università della Svizzera Italiana (USI) in Lugano, Switzerland. Currently working as a Lecturer (Assistant Professor) at King's College London.
Education
- PhD: Joint program between Fondazione Bruno Kessler, Trento, Italy and University College London, London, UK. Supervisors: Prof. Paolo Tonella, Dr. David Clark (first supervisors) and Prof. Mark Harman (second supervisor). MSc: Management and Information Systems from the University of Manchester. BSc and MSc: Informatics from Baku State University.
Background
- Currently a Lecturer (Assistant Professor) at King's College London. Research interests include automatic generation of assertion oracles, error propagation in software programs, mutation testing of deep learning systems, and oracles and quality metrics for autonomous vehicles.
