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ORCIDMohd Hafeez Osman
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2020 – today
- 2023
[j3]Sarah Qahtan
, Khaironi Yatim Sharif, Hazura Zulzalil, Mohd Hafeez Osman, A. A. Zaidan, Hassan A. AlSattar:
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. J. Netw. Comput. Appl. 209: 103529 (2023)- [j2]Muhammad Hafiz Hasan, Mohd Hafeez Osman, Novia Indriaty Admodisastro, Muhamad Sufri Muhammad:
Legacy systems to cloud migration: A review from the architectural perspective. J. Syst. Softw. 202: 111702 (2023) - [c20]Mohd Firdaus Zahrin, Mohd Hafeez Osman, Sa'adah Hassan, Azlena Haron:
Effectiveness of the Improvement Recommendations Model for Addressing the Syntactic Ambiguity in Malay Requirements Specifications. ASSE 2023: 80-88 - [c19]Muhammad Hafiz Hasan, Mohd Hafeez Osman, Novia Indriaty Admodisastro, Muhamad Sufri Muhammad:
AI-based Quality-driven Decomposition Tool for Monolith to Microservice Migration. ASSE 2023: 181-191 - 2022
- [j1]Sarah Qahtan, Khaironi Yatim Sharif, A. A. Zaidan, Hassan A. AlSattar, Osamah Shihab Albahri, B. B. Zaidan, Hazura Zulzalil, Mohd Hafeez Osman, Abdullah Hussein Alamoodi, R. T. Mohammed:
Novel Multi Security and Privacy Benchmarking Framework for Blockchain-Based IoT Healthcare Industry 4.0 Systems. IEEE Trans. Ind. Informatics 18(9): 6415-6423 (2022) - 2021
- [c18]Sufri Muhammad, Novia Admodisastro, Hafeez Osman, Norhayati Mohd. Ali:
Mudahnya BM: A Context-Aware Mobile Cloud Learning Application Using Semantic-Based Approach. IVIC 2021: 227-238
2010 – 2019
- 2019
- [c17]Saasha Nair, Sina Shafaei, Stefan Kugele, Mohd Hafeez Osman, Alois C. Knoll:
Monitoring Safety of Autonomous Vehicles with Crash Prediction Networks. SafeAI@AAAI 2019 - [c16]Mohd Hafeez Osman, Stefan Kugele, Sina Shafaei:
Run-Time Safety Monitoring Framework for AI-Based Systems: Automated Driving Cases. APSEC 2019: 442-449 - [c15]Christoph Segler, Stefan Kugele, Philipp Obergfell, Mohd Hafeez Osman, Sina Shafaei, Eric Sax, Alois C. Knoll:
Evaluation of feature selection for anomaly detection in automotive E/E architectures. ICSE (Companion Volume) 2019: 260-261 - [c14]Lukas Heinzmann, Sina Shafaei, Mohd Hafeez Osman, Christoph Segler, Alois C. Knoll:
A Framework for Safety Violation Identification and Assessment in Autonomous Driving. AISafety@IJCAI 2019 - [c13]Christoph Segler, Stefan Kugele, Philipp Obergfell, Mohd Hafeez Osman, Sina Shafaei, Eric Sax, Alois C. Knoll:
Anomaly Detection for Advanced Driver Assistance Systems Using Online Feature Selection. IV 2019: 578-585 - [c12]Markus Schnappinger, Mohd Hafeez Osman, Alexander Pretschner, Arnaud Fietzke:
Learning a classifier for prediction of maintainability based on static analysis tools. ICPC 2019: 243-248 - 2018
- [c11]Markus Schnappinger, Mohd Hafeez Osman, Alexander Pretschner, Markus Pizka, Arnaud Fietzke:
Software quality assessment in practice: a hypothesis-driven framework. ESEM 2018: 40:1-40:6 - [c10]Mohd Hafeez Osman, Truong Ho-Quang, Michel Chaudron:
An Automated Approach for Classifying Reverse-Engineered and Forward-Engineered UML Class Diagrams. SEAA 2018: 396-399 - [c9]Mohd Hafeez Osman, Mohd Firdaus Zahrin:
Ambiguous software requirement specification detection: an automated approach. RET@ICSE 2018: 33-40 - [c8]Sina Shafaei, Stefan Kugele, Mohd Hafeez Osman, Alois C. Knoll:
Uncertainty in Machine Learning: A Safety Perspective on Autonomous Driving. SAFECOMP Workshops 2018: 458-464 - 2014
- [c7]Mohd Hafeez Osman, Michel R. V. Chaudron, Peter van der Putten:
Interactive Scalable Abstraction of Reverse Engineered UML Class Diagrams. APSEC (1) 2014: 159-166 - [c6]Truong Ho-Quang, Michel R. V. Chaudron, Ingimar Samuelsson, Joel Hjaltason, Bilal Karasneh, Hafeez Osman:
Automatic Classification of UML Class Diagrams from Images. APSEC (1) 2014: 399-406 - [c5]Ferdian Thung, David Lo, Mohd Hafeez Osman, Michel R. V. Chaudron:
Condensing class diagrams by analyzing design and network metrics using optimistic classification. ICPC 2014: 110-121 - 2013
- [c4]Mohd Hafeez Osman, Michel R. V. Chaudron, Peter van der Putten:
An Analysis of Machine Learning Algorithms for Condensing Reverse Engineered Class Diagrams. ICSM 2013: 140-149 - [c3]Mohd Hafeez Osman, Michel R. V. Chaudron:
UML Usage in Open Source Software Development : A Field Study. EESSMod@MoDELS 2013: 23-32 - [c2]Mohd Hafeez Osman, Arjan van Zadelhoff, Michel R. V. Chaudron:
UML Class Diagram Simplification - A Survey for Improving Reverse Engineered Class Diagram Comprehension. MODELSWARD 2013: 291-296 - 2012
- [c1]Hafeez Osman, Arjan van Zadelhoff, Dave R. Stikkolorum, Michel R. V. Chaudron:
UML class diagram simplification: what is in the developer's mind? EESSMod@MoDELS 2012: 5:1-5:6
Coauthor Index
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