Results 21 to 30 of about 729,783 (267)
LDGM Codes for Channel Coding and Joint Source-Channel Coding of Correlated Sources
Summary: We propose a coding scheme based on the use of systematic linear codes with low-density generator matrix (LDGM codes) for channel coding and joint source-channel coding of multiterminal correlated binary sources. In both cases, the structures of the LDGM encoder and decoder are shown, and a concatenated scheme aimed at reducing the error floor
Wei Zhong, Javier Garcia-Frías
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A Comparative Study of Deep Learning-Based Vulnerability Detection System
Source code static analysis has been widely used to detect vulnerabilities in the development of software products. The vulnerability patterns purely based on human experts are laborious and error prone, which has motivated the use of machine learning ...
Zhen Li +5 more
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Bi-LSTM-Based Neural Source Code Summarization
Code summarization is a task that is often employed by software developers for fixing code or reusing code. Software documentation is essential when it comes to software maintenance. The highest cost in software development goes to maintenance because of
Sarah Aljumah, Lamia Berriche
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Identifying Plagiarised Programming Assignments with Detection Tool Consensus
Source code plagiarism is a common occurrence in undergraduate computer science education. Many source code plagiarism detection tools have been proposed to address this problem. However, most of these tools only measure the similarity between assignment
Hayden Cheers, Yuqing Lin, Weigen Yan
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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 source code plagiarism.
Hayden Cheers +2 more
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This paper provides a source coding theorem for multi-dimensional information signals when, at a given instant, the distribution associated with one arbitrary component of the signal to be compressed is not known and a side information is available at the destination. This new framework appears to be both of information-theoretical and game-theoretical
Le Treust, Mael, Lasaulce, Samson
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Collecting Vulnerable Source Code from Open-Source Repositories for Dataset Generation
Different Machine Learning techniques to detect software vulnerabilities have emerged in scientific and industrial scenarios. Different actors in these scenarios aim to develop algorithms for predicting security threats without requiring human ...
Razvan Raducu +3 more
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Scalable Source Code Similarity Detection in Large Code Repositories [PDF]
Source code similarity are increasingly used in application development to identify clones, isolate bugs, and find copy-rights violations. Similar code fragments can be very problematic due to the fact that errors in the original code must be fixed in ...
Firas Alomari, Muhammed Harbi
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Vulnerability Prediction From Source Code Using Machine Learning
As the role of information and communication technologies gradually increases in our lives, software security becomes a major issue to provide protection against malicious attempts and to avoid ending up with noncompensable damages to the system.
Zeki Bilgin +5 more
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Pseudo-code refers to an informal means of representing algorithms that do not require the exact syntax of a computer programming language. Pseudo-code helps developers and researchers represent their algorithms using human-readable language.
Uzzal Kumar Acharjee +5 more
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