When a Magecart payload hides inside the EXIF data of a dynamically loaded third-party favicon, no repository scanner will catch it – because the malicious code never actually touches your repo. As ...

Q1: How does Claude Code Security function—and how does it differ from traditional static application security testing (SAST)? A1: Conventional rule-based static analysis uses pattern matching, ...

Claude Code generates computer code when people type prompts, so those with no coding experience can create their own programs and apps. By Natallie Rocha Reporting from San Francisco Claude Code, an ...

Abstract: Static code analysis techniques examine programs without actually executing them. The main benefits lie in improving software quality by detecting problematic code constructs and potential ...

In our study, a novel SAST-LLM mashup slashed false positives by 91% compared to a widely used standalone SAST tool. The promise of static application security testing (SAST) has always been the ...

Code agents are AI systems that can generate high-quality code and work smoothly with code interpreters. These capabilities help streamline complex software development workflows, which has led to ...

This engineering experience paper details the application of design, development, and performance testing to an automated program repair tool we built that repairs C/C++ code. Static analysis (SA) ...

Abstract: Code smells are indicators of potential problems in software source code that may hinder maintainability, increase complexity, and elevate the likelihood of future defects. This paper ...

BellSoft, one of the largest external contributors to OpenJDK announced on Tuesday a significant upgrade to its Liberica JDK Performance Edition, incorporating Java Virtual Machine technology from JDK ...

ABSTRACT: Security vulnerabilities are a widespread and costly aspect of software engineering. Although tools exist to detect these vulnerabilities, non-machine learning techniques are often rigid and ...

ABSTRACT: Security vulnerabilities are a widespread and costly aspect of software engineering. Although tools exist to detect these vulnerabilities, non-machine learning techniques are often rigid and ...

Java is not the first language most programmers think of when they start projects involving artificial intelligence (AI) and machine learning (ML). Many turn first to Python because of the large ...