Paper Accepted in IEEE’s SCAM Conference 2022
Intern student Anushka Bhave and A/Prof Roopak Sinha's research paper "Deep Multimodal Architecture for Detection of Long Parameter List and Switch Statements using DistilBERT" will be presented in the 22nd IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM) 2022 in October.
The paper explores detection of code smells in software applications - observable patterns in source code that indicate deeper structural issues. The work prototypes multimodal deep learning architectures that combine structural and semantic information detecting code smells.