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2020 – today
- 2024
[j3]Mohammad Wardat
, Abdullah S. Al-Alaj:
DeepCNN: A Dual Approach to Fault Localization and Repair in Convolutional Neural Networks. IEEE Access 12: 50321-50334 (2024)- [j2]Safwan Omari, Kshitiz Basnet, Mohammad Wardat:
Investigating large language models capabilities for automatic code repair in Python. Clust. Comput. 27(8): 10717-10731 (2024) - [i9]Deepak-George Thomas, Matteo Biagiola, Nargiz Humbatova, Mohammad Wardat, Gunel Jahangirova, Hridesh Rajan, Paolo Tonella:
muPRL: A Mutation Testing Pipeline for Deep Reinforcement Learning based on Real Faults. CoRR abs/2408.15150 (2024) - [i8]Md. Fahim Sultan, Tasmin Karim, Md. Shazzad Hossain Shaon, Mohammad Wardat, Mst. Shapna Akter:
A Combined Feature Embedding Tools for Multi-Class Software Defect and Identification. CoRR abs/2411.17621 (2024) - [i7]Md. Fahim Sultan, Tasmin Karim, Md. Shazzad Hossain Shaon, Mohammad Wardat, Mst. Shapna Akter:
Enhanced LLM-Based Framework for Predicting Null Pointer Dereference in Source Code. CoRR abs/2412.00216 (2024) - [i6]Ruchira Manke, Mohammad Wardat, Foutse Khomh, Hridesh Rajan:
Leveraging Data Characteristics for Bug Localization in Deep Learning Programs. CoRR abs/2412.05775 (2024) - 2023
- [i5]Shibbir Ahmed, Mohammad Wardat, Hamid Bagheri, Breno Dantas Cruz, Hridesh Rajan:
Characterizing Bugs in Python and R Data Analytics Programs. CoRR abs/2306.08632 (2023) - [i4]Mohammad Wardat, Breno Dantas Cruz, Wei Le, Hridesh Rajan:
An Effective Data-Driven Approach for Localizing Deep Learning Faults. CoRR abs/2307.08947 (2023) - 2022
- [c6]Mohammad Wardat, Breno Dantas Cruz, Wei Le, Hridesh Rajan:
DeepDiagnosis: Automatically Diagnosing Faults and Recommending Actionable Fixes in Deep Learning Programs. ICSE 2022: 561-572 - [c5]Sumon Biswas, Mohammad Wardat, Hridesh Rajan:
The Art and Practice of Data Science Pipelines: A Comprehensive Study of Data Science Pipelines In Theory, In-The-Small, and In-The-Large. ICSE 2022: 2091-2103 - 2021
- [c4]Mohammad Wardat, Wei Le, Hridesh Rajan:
DeepLocalize: Fault Localization for Deep Neural Networks. ICSE 2021: 251-262 - [i3]Mohammad Wardat, Wei Le, Hridesh Rajan:
DeepLocalize: Fault Localization for Deep Neural Networks. CoRR abs/2103.03376 (2021) - [i2]Sumon Biswas, Mohammad Wardat, Hridesh Rajan:
The Art and Practice of Data Science Pipelines: A Comprehensive Study of Data Science Pipelines In Theory, In-The-Small, and In-The-Large. CoRR abs/2112.01590 (2021) - [i1]Mohammad Wardat, Breno Dantas Cruz, Wei Le, Hridesh Rajan:
DeepDiagnosis: Automatically Diagnosing Faults and Recommending Actionable Fixes in Deep Learning Programs. CoRR abs/2112.04036 (2021)
2010 – 2019
- 2018
- [c3]Mohammad Wardat, Mahmoud Al-Ayyoub, Yaser Jararweh, Abdallah A. Khreishah:
Cloud data centers revenue maximization using server consolidation: Modeling and evaluation. INFOCOM Workshops 2018: 172-177 - 2015
- [j1]Mahmoud Al-Ayyoub, Mohammad Wardat, Yaser Jararweh, Abdallah Khreishah:
Optimizing expansion strategies for ultrascale cloud computing data centers. Simul. Model. Pract. Theory 58: 15-29 (2015) - 2014
- [c2]Mosab Faqeeh, Mahmoud Al-Ayyoub, Mohammad Wardat, Ismail Hmeidi, Yaser Jararweh:
Topical search engine for Internet of Things. AICCSA 2014: 829-835 - [c1]Mohammad Wardat, Mahmoud Al-Ayyoub, Yaser Jararweh, Abdallah Khreishah:
To Build or Not to Build? Addressing the Expansion Strategies of Cloud Providers. FiCloud 2014: 477-482
Coauthor Index
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