Mohammad Wardat

According to our database, Mohammad Wardat authored at least 15 papers between 2014 and 2024.

Collaborative distances:

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

2024

Investigating large language models capabilities for automatic code repair in Python.

Safwan Omari, Kshitiz Basnet, Mohammad Wardat

Clust. Comput., November, 2024

Leveraging Data Characteristics for Bug Localization in Deep Learning Programs.

Ruchira Manke, Mohammad Wardat, Foutse Khomh, Hridesh Rajan

CoRR, 2024

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

Md. Fahim Sultan, Tasmin Karim, Md. Shazzad Hossain Shaon, Mohammad Wardat, Mst. Shapna Akter

CoRR, 2024

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

Md. Fahim Sultan, Tasmin Karim, Md. Shazzad Hossain Shaon, Mohammad Wardat, Mst. Shapna Akter

CoRR, 2024

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

Deepak-George Thomas, Matteo Biagiola, Nargiz Humbatova, Mohammad Wardat, Gunel Jahangirova, Hridesh Rajan, Paolo Tonella

CoRR, 2024

DeepCNN: A Dual Approach to Fault Localization and Repair in Convolutional Neural Networks.

Mohammad Wardat, Abdullah S. Al-Alaj

IEEE Access, 2024

2023

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

Mohammad Wardat, Breno Dantas Cruz, Wei Le, Hridesh Rajan

CoRR, 2023

Characterizing Bugs in Python and R Data Analytics Programs.

Shibbir Ahmed, Mohammad Wardat, Hamid Bagheri, Breno Dantas Cruz, Hridesh Rajan

CoRR, 2023

2022

DeepDiagnosis: Automatically Diagnosing Faults and Recommending Actionable Fixes in Deep Learning Programs.

Mohammad Wardat, Breno Dantas Cruz, Wei Le, Hridesh Rajan

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.

Sumon Biswas, Mohammad Wardat, Hridesh Rajan

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021

DeepLocalize: Fault Localization for Deep Neural Networks.

Mohammad Wardat, Wei Le, Hridesh Rajan

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2018

Cloud data centers revenue maximization using server consolidation: Modeling and evaluation.

Mohammad Wardat, Mahmoud Al-Ayyoub, Yaser Jararweh, Abdallah A. Khreishah

Proceedings of the IEEE INFOCOM 2018, 2018

2015

Optimizing expansion strategies for ultrascale cloud computing data centers.

Mahmoud Al-Ayyoub, Mohammad Wardat, Yaser Jararweh, Abdallah Khreishah

Simul. Model. Pract. Theory, 2015

2014

To Build or Not to Build? Addressing the Expansion Strategies of Cloud Providers.

Mohammad Wardat, Mahmoud Al-Ayyoub, Yaser Jararweh, Abdallah Khreishah

Proceedings of the 2014 International Conference on Future Internet of Things and Cloud, 2014

Topical search engine for Internet of Things.

Mosab Faqeeh, Mahmoud Al-Ayyoub, Mohammad Wardat, Ismail Hmeidi, Yaser Jararweh

Proceedings of the 11th IEEE/ACS International Conference on Computer Systems and Applications, 2014