Researchers have found that LLM-driven bug finding is not a drop-in replacement for mature static analysis pipelines. Studies comparing AI coding agents to human developers show that while AI can be ...
Azul, the trusted leader in enterprise Java for today’s AI and cloud-first world, today warned enterprises of a growing Java application modernization crisis driven by technical debt and converging ...
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) ...
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 ...
You’ve probably seen the headlines: Sam Altman recently announced that GPT-5 can write complete computer programs from scratch. That’s pretty impressive! For PPC marketers who have been struggling ...
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 ...