Topical search engine for Internet of Things. - Mosab Faqeeh; Mahmoud Al-Ayyoub; Mohammad Wardat; Ismail Hmeidi; Yaser Jararweh (AICCSA, 2014)

To Build or Not to Build? Addressing the Expansion Strategies of Cloud Providers. - Mohammad Wardat; Mahmoud Al-Ayyoub; Yaser Jararweh; Abdallah Khreishah (FiCloud, 2014)

Optimizing expansion strategies for ultrascale cloud computing data centers. - Mahmoud Al-Ayyoub; Mohammad Wardat; Yaser Jararweh; Abdallah Khreishah (Simul. Model. Pract. Theory, 2015)

Cloud data centers revenue maximization using server consolidation: Modeling and evaluation. - Mohammad Wardat; Mahmoud Al-Ayyoub; Yaser Jararweh; Abdallah A. Khreishah (INFOCOM Workshops, 2018)

DeepLocalize: Fault Localization for Deep Neural Networks. - Mohammad Wardat; Wei Le; Hridesh Rajan (ICSE, 2021)

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 (ICSE, 2022)

DeepDiagnosis: Automatically Diagnosing Faults and Recommending Actionable Fixes in Deep Learning Programs. - Mohammad Wardat; Breno Dantas Cruz; Wei Le; Hridesh Rajan (ICSE, 2022)

Characterizing Bugs in Python and R Data Analytics Programs. - Shibbir Ahmed; Mohammad Wardat; Hamid Bagheri; Breno Dantas Cruz; Hridesh Rajan (CoRR, 2023)

An Effective Data-Driven Approach for Localizing Deep Learning Faults. - Mohammad Wardat; Breno Dantas Cruz; Wei Le; Hridesh Rajan (CoRR, 2023)

TransBug: Transformer-Assisted Bug Detection and Diagnosis in Deep Neural Networks. - Abdul Haq Ayantayo; Johnson Chen; Muhammad Anas Raza; Mohammad Wardat (IEEE Big Data, 2024)

RAGFix: Enhancing LLM Code Repair Using RAG and Stack Overflow Posts. - Elijah Mansur; Johnson Chen; Muhammad Anas Raza; Mohammad Wardat (IEEE Big Data, 2024)

Evaluating Large Language Models for Code Generation: Assessing Accuracy, Quality, and Performance. - Mohammed A. Shehab; Mohammad Wardat; Safwan Omari; Yaser Jararweh (FLLM, 2024)

DeepCNN: A Dual Approach to Fault Localization and Repair in Convolutional Neural Networks. - Mohammad Wardat; Abdullah S. Al-Alaj (IEEE Access, 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)

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)

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)

Investigating large language models capabilities for automatic code repair in Python. - Safwan Omari; Kshitiz Basnet; Mohammad Wardat (Clust. Comput., 2024)

Replication Package of Paper Titled: "Leveraging Data Characteristics for Bug Localization in Deep Learning Programs". - Ruchira Manke; Mohammad Wardat; Foutse Khomh; Hridesh Rajan (Zenodo, 2024)

Mock Deep Testing: Toward Separate Development of Data and Models for Deep Learning. - Ruchira Manke; Mohammad Wardat; Foutse Khomh; Hridesh Rajan (ICSE, 2025)

$ mu text{PRL}$: 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 (ICSE, 2025)

Leveraging Data Characteristics for Bug Localization in Deep Learning Programs. - Ruchira Manke; Mohammad Wardat; Foutse Khomh; Hridesh Rajan (ACM Trans. Softw. Eng. Methodol., 2025)

Graph neural network for fault localization in sequence-based models. - Muhammad Anas Raza; Mohammad Wardat (Empir. Softw. Eng., 2025)