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Automated assessment in computer science education: A state-of-the-art review
Practical programming competencies are critical to the success in computer science (CS)
education and go-to-market of fresh graduates. Acquiring the required level of skills is a long …
education and go-to-market of fresh graduates. Acquiring the required level of skills is a long …
Cyber security threats detection in internet of things using deep learning approach
The IoT (Internet of Things) connect systems, applications, data storage, and services that
may be a new gateway for cyber-attacks as they continuously offer services in the …
may be a new gateway for cyber-attacks as they continuously offer services in the …
Dgcnn: A convolutional neural network over large-scale labeled graphs
Exploiting graph-structured data has many real applications in domains including natural
language semantics, programming language processing, and malware analysis. A variety of …
language semantics, programming language processing, and malware analysis. A variety of …
Convolutional neural networks over control flow graphs for software defect prediction
Existing defects in software components is unavoidable and leads to not only a waste of time
and money but also many serious consequences. To build predictive models, previous …
and money but also many serious consequences. To build predictive models, previous …
A comparison of code similarity analysers
Copying and pasting of source code is a common activity in software engineering. Often, the
code is not copied as it is and it may be modified for various purposes; eg refactoring, bug …
code is not copied as it is and it may be modified for various purposes; eg refactoring, bug …
ModelDiff: Testing-based DNN similarity comparison for model reuse detection
The knowledge of a deep learning model may be transferred to a student model, leading to
intellectual property infringement or vulnerability propagation. Detecting such knowledge …
intellectual property infringement or vulnerability propagation. Detecting such knowledge …
Unleashing the hidden power of compiler optimization on binary code difference: An empirical study
Hunting binary code difference without source code (ie, binary diffing) has compelling
applications in software security. Due to the high variability of binary code, existing solutions …
applications in software security. Due to the high variability of binary code, existing solutions …
Definition, approaches, and analysis of code duplication detection (2006–2020): a critical review
Code duplication detection is the act of finding similar code in software development. It is
important for software engineer to address the issues of code duplication detection. In this …
important for software engineer to address the issues of code duplication detection. In this …
Detecting automatic software plagiarism via token sequence normalization
While software plagiarism detectors have been used for decades, the assumption that
evading detection requires programming proficiency is challenged by the emergence of …
evading detection requires programming proficiency is challenged by the emergence of …
Academic source code plagiarism detection by measuring program behavioral similarity
Source code plagiarism is a long-standing issue in tertiary computer science education.
Many source code plagiarism detection tools have been proposed to aid in the detection of …
Many source code plagiarism detection tools have been proposed to aid in the detection of …