TAJS is a dataflow analysis for JavaScript that infers type information and call graphs. The current version of the analysis contains a model of ECMAScript 3rd edition, including the standard library, ...

Decision tree regression is a fundamental machine learning technique to predict a single numeric value. A decision tree regression system incorporates a set of virtual if-then rules to make a ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Birgitta Böckeler, Distinguished Engineer at ...

Abstract: The transformation of belief function into probability is one of the most important and common ways for decision making under the framework of evidence theory. In this paper, we focus on the ...

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 ...

CVE-2025-12735 in expr-eval allows remote code execution via unsafe input evaluation Vulnerable versions ≤2.0.2; patched in 2.0.3 and forked in expr-eval-fork 3.0.0 Developers should sanitize ...

A critical vulnerability in the popular expr-eval JavaScript library, with over 800,000 weekly downloads on NPM, can be exploited to execute code remotely through maliciously crafted input. The ...

JavaScript's eval() function, created during Brendan Eich's famous 10-day sprint at Netscape in May 1995, represents one of programming's most controversial features - a powerful capability that ...

We’ll start with the most far-reaching addition, which the spec describes as “a new Iterator global with associated static and prototype methods for working with iterators.” The most exciting part of ...

Large language models (LLMs) are fundamentally transforming human-facing applications in the health and well-being domains: boosting patient engagement, accelerating clinical decision-making, and ...

Abstract: In this study, we applied the machine learning method of evaluation functions, which has been used in Shogi recently, to Mini-Shogi and verify whether the method is also effective in ...