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Software vulnerability prediction: A systematic map** study
Context: Software security is considered a major aspect of software quality as the number of
discovered vulnerabilities in software products is growing. Vulnerability prediction is a …
discovered vulnerabilities in software products is growing. Vulnerability prediction is a …
A survey on machine learning techniques for source code analysis
The advancements in machine learning techniques have encouraged researchers to apply
these techniques to a myriad of software engineering tasks that use source code analysis …
these techniques to a myriad of software engineering tasks that use source code analysis …
[HTML][HTML] A survey on machine learning techniques applied to source code
The advancements in machine learning techniques have encouraged researchers to apply
these techniques to a myriad of software engineering tasks that use source code analysis …
these techniques to a myriad of software engineering tasks that use source code analysis …
SecBench. js: An executable security benchmark suite for server-side JavaScript
MHM Bhuiyan, AS Parthasarathy… - 2023 IEEE/ACM 45th …, 2023 - ieeexplore.ieee.org
NPM is the largest software ecosystem in the world, offering millions of free, reusable
packages. In recent years, various security threats to packages published on npm have …
packages. In recent years, various security threats to packages published on npm have …
Technical debt as an indicator of software security risk: a machine learning approach for software development enterprises
Vulnerability prediction facilitates the development of secure software, as it enables the
identification and mitigation of security risks early enough in the software development …
identification and mitigation of security risks early enough in the software development …
A Systematic Literature Review on Software Vulnerability Prediction Models
The prediction of software vulnerability requires crucial awareness during the software
specification, design, development, and configuration to achieve less vulnerable and secure …
specification, design, development, and configuration to achieve less vulnerable and secure …
A hierarchical model for quantifying software security based on static analysis alerts and software metrics
Despite the acknowledged importance of quantitative security assessment in secure
software development, current literature still lacks an efficient model for measuring internal …
software development, current literature still lacks an efficient model for measuring internal …
On measuring vulnerable javascript functions in the wild
JavaScript is often rated as the most popular programming language for the development of
both client-side and server-side applications, and is currently used in almost all websites …
both client-side and server-side applications, and is currently used in almost all websites …
On detecting and measuring exploitable JavaScript functions in real-world applications
JavaScript is often rated as the most popular programming language for the development of
both client-side and server-side applications. Because of its popularity, JavaScript has …
both client-side and server-side applications. Because of its popularity, JavaScript has …
Examining the capacity of text mining and software metrics in vulnerability prediction
Software security is a very important aspect for software development organizations who
wish to provide high-quality and dependable software to their consumers. A crucial part of …
wish to provide high-quality and dependable software to their consumers. A crucial part of …