Abstract: This paper presents FUNDED (Flow-sensitive vUl-Nerability coDE Detection), a novel learning framework for building vulnerability detection models. Funded leverages the advances in graph ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Application Programming Interfaces (APIs) are crucial to software development, enabling integration of existing systems with new applications by reusing tried and tested code, saving development time ...

Passionate and pragmatic Software Engineer at the intersection of backend, data engineering, and developer tooling. I’ve started my programming journey more than 8 years ago with a book on learning ...

Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex dependencies ...

Got Tech, Data, AI and Media, and not afraid to use them. Are graphs really the new star schema? What do graphs look like to non-insiders, and what is it that attracts them to the graph community, ...

Using graph neural networks and open-source repositories to detect code vulnerabilities. This is an implementation of the model described in: "Combining Graph-based Learning with Automated Data ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

In March 2025, the Central Java Gender Justice Agreement was formally announced, marking a historic breakthrough in the fight against gender-based violence and harassment (GBVH) in Indonesia’s garment ...

If you have the impression that AI-powered code generation that offers agents is becoming a crowded field, you’re not wrong. There are still differences in the products, however, and it’s worth diving ...