A new feature of the Azul Vulnerability Protection service identifies unused code in production Java applications, aiming to ease maintenance for developers. Credit: Shout! Factory Java software and services provider Azul has added a code inventory capability to identify “dead” code via its Azul Vulnerability Protection agentless cloud service for Java applications. Introduced October 4 and available now at no additional cost to Azul Vulnerability Detection users, the Code Inventory feature offers developers and devops teams a catalog of source code being used in production Java applications. This enables accurate identification of dead and unused code for removal. Azul described dead code as source code residing in an applications codebase but not used by the application. Code Inventory catalogs which code has run in production so teams can make informed decisions about what code should be removed. With Code Inventory, Azul aims to reduce the time needed to maintain and test code, thus improving developer productivity and saving money. Information is collected during production, with no performance penalty, and no changes are required to Java applications, Azul said. Detailed code information is collected at the class/package level from inside the JVM to create a comprehensive view across Java workloads of what code runs in production over time. This data offers accurate and strong signals to confidently prioritize dead code for removal, Azul said. Code Inventory is part of Azul Vulnerability Detection, a cloud service for Azul JVMs that continuously detects security vulnerabilities in applications and infrastructure in production. Related content analysis Beyond the usual suspects: 5 fresh data science tools to try today The mid-month report includes quick tips for easier Python installation, a new VS Code-like IDE just for Python and R users, and five newer data science tools you won't want to miss. By Serdar Yegulalp Jul 12, 2024 2 mins Python Programming Languages Software Development analysis Generative AI won’t fix cloud migration You’ve probably heard how generative AI will solve all cloud migration problems. It’s not that simple. Generative AI could actually make it harder and more costly. By David Linthicum Jul 12, 2024 5 mins Generative AI Artificial Intelligence Cloud Computing news HR professionals trust AI recommendations HireVue survey finds 73% of HR professionals trust AI to make candidate recommendations, while 75% of workers are opposed to AI making hiring decisions. By Paul Krill Jul 11, 2024 3 mins Technology Industry Careers how-to Safety off: Programming in Rust with `unsafe` What does it mean to write unsafe code in Rust, and what can you do (and not do) with the 'unsafe' keyword? The facts may surprise you. By Serdar Yegulalp Jul 11, 2024 8 mins Rust Programming Languages Software Development Resources Videos