Mohd Hafeez Osman

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 14

Top Topics

Anomaly Detection

Driver Assistance Systems

Top Venues

Publications

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)
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)
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 (2023)
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 (2023)
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)
Saasha Nair, Sina Shafaei, Stefan Kugele, Mohd Hafeez Osman, Alois C. Knoll
Monitoring Safety of Autonomous Vehicles with Crash Prediction Networks. SafeAI@AAAI (2019)
Mohd Hafeez Osman, Stefan Kugele, Sina Shafaei
Run-Time Safety Monitoring Framework for AI-Based Systems: Automated Driving Cases. APSEC (2019)
Markus Schnappinger, Mohd Hafeez Osman, Alexander Pretschner, Arnaud Fietzke
Learning a classifier for prediction of maintainability based on static analysis tools. ICPC (2019)
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)
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)
Sina Shafaei, Stefan Kugele, Mohd Hafeez Osman, Alois C. Knoll
Uncertainty in Machine Learning: A Safety Perspective on Autonomous Driving. SAFECOMP Workshops (2018)
Mohd Hafeez Osman, Truong Ho-Quang, Michel Chaudron
An Automated Approach for Classifying Reverse-Engineered and Forward-Engineered UML Class Diagrams. SEAA (2018)
Mohd Hafeez Osman, Mohd Firdaus Zaharin
Ambiguous software requirement specification detection: an automated approach. RET@ICSE (2018)
Markus Schnappinger, Mohd Hafeez Osman, Alexander Pretschner, Markus Pizka, Arnaud Fietzke
Software quality assessment in practice: a hypothesis-driven framework. ESEM (2018)
Mohd Hafeez Osman, Michel R. V. Chaudron, Peter van der Putten
Interactive Scalable Abstraction of Reverse Engineered UML Class Diagrams. APSEC (1) (2014)
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)
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)
Mohd Hafeez Osman, Michel R. V. Chaudron
UML Usage in Open Source Software Development : A Field Study. EESSMod@MoDELS (2013)
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)