DexBERT: Effective, task-agnostic and fine-grained representation learning of Android bytecode

• Main Authors: SUN, Tiezhu, ALLIX, Kevin, KIM, Kisub, ZHOU, Xin, KIM, Dongsun, LO, David, BISSYANDE, Tegawendé F., KLEIN, Jacques
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Representation learning; Android app analysis; Code representation; Malicious code localization; Defect prediction; Predictive models; Operating systems; Software engineering; Artificial Intelligence and Robotics; OS and Networks; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/8509; https://ink.library.smu.edu.sg/context/sis_research/article/9512/viewcontent/DexBERT_Effective_Task_Agnostic_and_Fine_Grained_Representation_Learning_of_Android_Bytecode.pdf
• Institution: Singapore Management University

The automation of an increasingly large number of software engineering tasks is becoming possible thanks to Machine Learning (ML). One foundational building block in the application of ML to software artifacts is the representation of these artifacts ( e.g. , source code or executable code) into a f...