Tahereh Zohdinasab

Orcid: 0000-0002-0191-1151

According to our database1, Tahereh Zohdinasab authored at least 19 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Focused Test Generation for Autonomous Driving Systems.
ACM Trans. Softw. Eng. Methodol., July, 2024

DeepHyperion-UAV at the SBFT Tool Competition 2024 - CPS-UAV Test Case Generation Track.
Proceedings of the 17th ACM/IEEE International Workshop on Search-Based and Fuzz Testing, 2024

2023
Replication Package: DeepAtash-LR: Focused Test Generation for Autonomous Driving Systems.
Dataset, December, 2023

Replication Package: DeepAtash: Focused Test Generation for Deep Learning Systems.
Dataset, July, 2023

Replication Package: DeepAtash: Focused Test Generation for Deep Learning Systems.
Dataset, July, 2023

Replication Package: DeepAtash: Focused Test Generation for Deep Learning Systems.
Dataset, July, 2023

Replication Package: DeepAtash: Focused Test Generation for Deep Learning Systems.
Dataset, July, 2023

Replication Package: DeepAtash: Focused Test Generation for Deep Learning Systems.
Dataset, July, 2023

Replication Package: DeepAtash: Focused Test Generation for Deep Learning Systems.
Dataset, July, 2023

Replication Package: DeepAtash: Focused Test Generation for Deep Learning Systems.
Dataset, July, 2023

Replication Package: DeepAtash: Focused Test Generation for Deep Learning Systems.
Dataset, July, 2023

Replication Package: An Empirical Study on Low- and High-Level Explanations of Deep Learning Misbehaviours.
Dataset, July, 2023

Replication Package: An Empirical Study on Low- and High-Level Explanations of Deep Learning Misbehaviours.
Dataset, July, 2023

Efficient and Effective Feature Space Exploration for Testing Deep Learning Systems.
ACM Trans. Softw. Eng. Methodol., April, 2023

DeepHyperion: Exploring the Feature Space of Deep Learning-based Systems through Illumination Search.
Proceedings of the Software Engineering 2023, 2023

DeepAtash: Focused Test Generation for Deep Learning Systems.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

An Empirical Study on Low- and High-Level Explanations of Deep Learning Misbehaviours.
Proceedings of the ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2023

2021
Replication Package: DeepHyperion: Exploring the Feature Space of Deep Learning-Based Systems through Illumination Search.
Dataset, July, 2021

Replication Package: DeepHyperion: Exploring the Feature Space of Deep Learning-Based Systems through Illumination Search.
Dataset, July, 2021


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