Mohammad Wardat

Orcid: 0009-0001-0213-725X

According to our database1, Mohammad Wardat authored at least 22 papers between 2014 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2025
Graph neural network for fault localization in sequence-based models.
Empir. Softw. Eng., October, 2025

Leveraging Data Characteristics for Bug Localization in Deep Learning Programs.
ACM Trans. Softw. Eng. Methodol., July, 2025

$\mu \text{PRL}$: A Mutation Testing Pipeline for Deep Reinforcement Learning Based on Real Faults.
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

Mock Deep Testing: Toward Separate Development of Data and Models for Deep Learning.
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

2024
Replication Package of Paper Titled: "Leveraging Data Characteristics for Bug Localization in Deep Learning Programs".
Dataset, December, 2024

Investigating large language models capabilities for automatic code repair in Python.
Clust. Comput., November, 2024

Enhanced LLM-Based Framework for Predicting Null Pointer Dereference in Source Code.
CoRR, 2024

A Combined Feature Embedding Tools for Multi-Class Software Defect and Identification.
CoRR, 2024

muPRL: A Mutation Testing Pipeline for Deep Reinforcement Learning based on Real Faults.
CoRR, 2024

DeepCNN: A Dual Approach to Fault Localization and Repair in Convolutional Neural Networks.
IEEE Access, 2024

Evaluating Large Language Models for Code Generation: Assessing Accuracy, Quality, and Performance.
Proceedings of the 2nd International Conference on Foundation and Large Language Models, 2024

RAGFix: Enhancing LLM Code Repair Using RAG and Stack Overflow Posts.
Proceedings of the IEEE International Conference on Big Data, 2024

TransBug: Transformer-Assisted Bug Detection and Diagnosis in Deep Neural Networks.
Proceedings of the IEEE International Conference on Big Data, 2024

2023
An Effective Data-Driven Approach for Localizing Deep Learning Faults.
CoRR, 2023

Characterizing Bugs in Python and R Data Analytics Programs.
CoRR, 2023

2022
DeepDiagnosis: Automatically Diagnosing Faults and Recommending Actionable Fixes in Deep Learning Programs.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

The Art and Practice of Data Science Pipelines: A Comprehensive Study of Data Science Pipelines In Theory, In-The-Small, and In-The-Large.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021
DeepLocalize: Fault Localization for Deep Neural Networks.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2018
Cloud data centers revenue maximization using server consolidation: Modeling and evaluation.
Proceedings of the IEEE INFOCOM 2018, 2018

2015
Optimizing expansion strategies for ultrascale cloud computing data centers.
Simul. Model. Pract. Theory, 2015

2014
To Build or Not to Build? Addressing the Expansion Strategies of Cloud Providers.
Proceedings of the 2014 International Conference on Future Internet of Things and Cloud, 2014

Topical search engine for Internet of Things.
Proceedings of the 11th IEEE/ACS International Conference on Computer Systems and Applications, 2014


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