Article

Same Scrutiny, More Time: Eye Tracking Insights into Reviewing LLM-Labelled Code
This paper uses eye tracking to study how developers review code that has been labelled or generated by large language models, finding …
Ranim Khojah, Francisco Gomes De Oliveira Neto, Mazen Mohamad, Julian Frattini, Philipp Leitner
Data Annotation Quality Problems in AI-Enabled Perception System Development
This paper reports a multi-organisation case study on data annotation for AI-enabled perception systems in automated driving, …
Hina Saeeda, Mazen Mohamad, Tommy Johansson, Eric Knauss
Towards Understanding and Applying Security Assurance Cases for Automotive Systems
This paper surveys the state of practice and research on security assurance cases in the automotive domain. It presents the CASCADE …
Mazen Mohamad