Mahboubeh Dadkhah

According to our database, Mahboubeh Dadkhah authored at least 9 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

CAFD: Concept-Aware DNN Fault Detection using VLMs.

Amin Abbasishahkoo, Mahboubeh Dadkhah, Lionel C. Briand

CoRR, May, 2026

Supporting System Testing with a Multi-Agent LLM-based Framework for Knowledge Graph Extraction: A Case Study with Ethernet Switch Systems.

Rongqi Pan, Mahboubeh Dadkhah, Jean Baptiste Minani, Hussein Al Osman, Lionel C. Briand, Haiwei Dong

CoRR, May, 2026

A Highly Efficient Diversity-based Input Selection for DNN Improvement Using VLMs.

Amin Abbasishahkoo, Mahboubeh Dadkhah, Lionel C. Briand

CoRR, January, 2026

2025

MetaSel: A Test Selection Approach for Fine-Tuned DNN Models.

Amin Abbasishahkoo, Mahboubeh Dadkhah, Lionel C. Briand, Dayi Lin

IEEE Trans. Software Eng., November, 2025

2024

TEASMA: A Practical Methodology for Test Adequacy Assessment of Deep Neural Networks.

Amin Abbasishahkoo, Mahboubeh Dadkhah, Lionel C. Briand, Dayi Lin

IEEE Trans. Software Eng., December, 2024

DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks.

Zohreh Aghababaeyan, Manel Abdellatif, Mahboubeh Dadkhah, Lionel C. Briand

ACM Trans. Softw. Eng. Methodol., July, 2024

2023

TEASMA: A Practical Approach for the Test Assessment of Deep Neural Networks using Mutation Analysis.

Amin Abbasishahkoo, Mahboubeh Dadkhah, Lionel C. Briand, Dayi Lin

CoRR, 2023

2020

A systematic literature review on semantic web enabled software testing.

Mahboubeh Dadkhah, Saeed Araban, Samad Paydar

J. Syst. Softw., 2020

2016

Semantic-Based Test Case Generation.

Mahboubeh Dadkhah

Proceedings of the 2016 IEEE International Conference on Software Testing, 2016