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Mahboubeh Dadkhah

6 papers hereh-index 374 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author6

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.SE2
  • cs.CV1

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedDeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks

34 citations · 39 across the 6 of their papers we have counts for

collaborators
Showing cs.SEShow all

2 papers · 1 filter

cs.SE2026

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 +3

Technical documents contain rich domain knowledge for automating downstream tasks such as system testing. While this paper focuses on Ethernet switch configuration manuals (ESCMs),…

cs.SE2023★ 4 cited

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

Amin Abbasishahkoo, Mahboubeh Dadkhah, Lionel Briand +1

Successful deployment of Deep Neural Networks (DNNs) requires their validation with an adequate test set to ensure a sufficient degree of confidence in test outcomes. Although well…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.