The Java ecosystem has historically been blessed with great IDEs to work with, including NetBeans, Eclipse and IntelliJ from JetBrains. However, in recent years Microsoft's Visual Studio Code editor ...

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, ...

Smart contracts are the backbone of decentralized applications, decentralized finance (DeFi), and blockchain ecosystems. Unlike traditional software, once deployed, smart contracts are immutable, ...

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) ...

Our tool, Redemption, automatically repairs source code for 100% of static analysis alerts for two types of code flaws, even if the alert is a false positive. Static analysis tools often produce too ...

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: An increase in ICT devices and services has led to a rise in carbon emissions. As a result, there is a growing demand for energy-efficient software; however, this demand remains unmet due to ...

Static program analysis (or static analysis) is the analysis of computer programs performed without executing them, in contrast with dynamic program analysis, which is performed on programs during ...

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 unable to ...