UML class diagram simplification: what is in the developer's mind? - Hafeez Osman; Arjan van Zadelhoff; Dave R. Stikkolorum; Michel R. V. Chaudron (EESSMod@MoDELS, 2012)

An Analysis of Machine Learning Algorithms for Condensing Reverse Engineered Class Diagrams. - Mohd Hafeez Osman; Michel R. V. Chaudron; Peter van der Putten (ICSM, 2013)

UML Usage in Open Source Software Development : A Field Study. - Mohd Hafeez Osman; Michel R. V. Chaudron (EESSMod@MoDELS, 2013)

UML Class Diagram Simplification - A Survey for Improving Reverse Engineered Class Diagram Comprehension. - Mohd Hafeez Osman; Arjan van Zadelhoff; Michel R. V. Chaudron (MODELSWARD, 2013)

Automatic Classification of UML Class Diagrams from Images. - Truong Ho-Quang; Michel R. V. Chaudron; Ingimar Samuelsson; Joel Hjaltason; Bilal Karasneh; Hafeez Osman (APSEC (1), 2014)

Interactive Scalable Abstraction of Reverse Engineered UML Class Diagrams. - Mohd Hafeez Osman; Michel R. V. Chaudron; Peter van der Putten (APSEC (1), 2014)

Condensing class diagrams by analyzing design and network metrics using optimistic classification. - Ferdian Thung; David Lo 001; Mohd Hafeez Osman; Michel R. V. Chaudron (ICPC, 2014)

Software quality assessment in practice: a hypothesis-driven framework. - Markus Schnappinger; Mohd Hafeez Osman; Alexander Pretschner; Markus Pizka; Arnaud Fietzke (ESEM, 2018)

An Automated Approach for Classifying Reverse-Engineered and Forward-Engineered UML Class Diagrams. - Mohd Hafeez Osman; Truong Ho-Quang; Michel Chaudron (SEAA, 2018)

Ambiguous software requirement specification detection: an automated approach. - Mohd Hafeez Osman; Mohd Firdaus Zahrin (RET@ICSE, 2018)

Uncertainty in Machine Learning: A Safety Perspective on Autonomous Driving. - Sina Shafaei; Stefan Kugele; Mohd Hafeez Osman; Alois C. Knoll (SAFECOMP Workshops, 2018)

Monitoring Safety of Autonomous Vehicles with Crash Prediction Networks. - Saasha Nair; Sina Shafaei; Stefan Kugele; Mohd Hafeez Osman; Alois C. Knoll (SafeAI@AAAI, 2019)

Run-Time Safety Monitoring Framework for AI-Based Systems: Automated Driving Cases. - Mohd Hafeez Osman; Stefan Kugele; Sina Shafaei (APSEC, 2019)

Evaluation of feature selection for anomaly detection in automotive E/E architectures. - Christoph Segler; Stefan Kugele; Philipp Obergfell; Mohd Hafeez Osman; Sina Shafaei; Eric Sax; Alois C. Knoll (ICSE (Companion Volume), 2019)

A Framework for Safety Violation Identification and Assessment in Autonomous Driving. - Lukas Heinzmann; Sina Shafaei; Mohd Hafeez Osman; Christoph Segler; Alois C. Knoll (AISafety@IJCAI, 2019)

Anomaly Detection for Advanced Driver Assistance Systems Using Online Feature Selection. - Christoph Segler; Stefan Kugele; Philipp Obergfell; Mohd Hafeez Osman; Sina Shafaei; Eric Sax; Alois C. Knoll (IV, 2019)

Learning a classifier for prediction of maintainability based on static analysis tools. - Markus Schnappinger; Mohd Hafeez Osman; Alexander Pretschner; Arnaud Fietzke (ICPC, 2019)

Mudahnya BM: A Context-Aware Mobile Cloud Learning Application Using Semantic-Based Approach. - Sufri Muhammad; Novia Admodisastro; Hafeez Osman; Norhayati Mohd. Ali (IVIC, 2021)

Novel Multi Security and Privacy Benchmarking Framework for Blockchain-Based IoT Healthcare Industry 4.0 Systems. - Sarah Qahtan; Khaironi Yatim Sharif; A. A. Zaidan 001; Hassan A. AlSattar; Osamah Shihab Albahri; B. B. Zaidan; Hazura Zulzalil; Mohd Hafeez Osman; Abdullah Hussein Alamoodi; R. T. Mohammed 001 (IEEE Trans. Ind. Informatics, 2022)

AI-based Quality-driven Decomposition Tool for Monolith to Microservice Migration. - Muhammad Hafiz Hasan; Mohd Hafeez Osman; Novia Indriaty Admodisastro; Muhamad Sufri Muhammad (ASSE, 2023)

Effectiveness of the Improvement Recommendations Model for Addressing the Syntactic Ambiguity in Malay Requirements Specifications. - Mohd Firdaus Zahrin; Mohd Hafeez Osman; Sa'adah Hassan; Azlena Haron (ASSE, 2023)

Review of healthcare industry 4.0 application-based blockchain in terms of security and privacy development attributes: Comprehensive taxonomy, open issues and challenges and recommended solution. - Sarah Qahtan; Khaironi Yatim Sharif; Hazura Zulzalil; Mohd Hafeez Osman; A. A. Zaidan 001; Hassan A. AlSattar (J. Netw. Comput. Appl., 2023)

Legacy systems to cloud migration: A review from the architectural perspective. - Muhammad Hafiz Hasan; Mohd Hafeez Osman; Novia Indriaty Admodisastro; Muhamad Sufri Muhammad (J. Syst. Softw., 2023)

Interpretable Deep Learning for Efficient Code Smell Prioritization in Software Development. - Maaeda M. Rashid; Mohd Hafeez Osman; Khaironi Yatim Sharif; Hazura Zulzalil (IEEE Access, 2025)

Feature Selection Techniques for Enhancing App User Review Analysis. - Amran Salleh; Mohd Hafeez Osman; Sa'adah Hassan; Mar Yah Said (IEEE Access, 2025)

Evaluating Critical Success Factors in AI-Driven Drug Discovery Using AHP: A Strategic Framework for Optimization. - Amir Mohamed Talib; Areen Metib Al-Hgaish; Rodziah Binti Atan; Abdulaziz Alshammari; Fahad Omar Alomary; Razali Yaakob; Abdulaziz Alsahli; Mohd Hafeez Osman (IEEE Access, 2025)

A hybrid model for low-resource language text classification and comparative analysis. - Amran Salleh; Mohd Hafeez Osman; Sa'adah Hassan; Mar Yah Said; Khaironi Yatim Sharif; Koh Tieng Wei (Knowl. Based Syst., 2025)