Abstract: Traditional code knowledge graphs have problems such as broad and complex knowledge coverage, incomplete code granularity, insufficient semantic richness in code relationships, and ...
nSTAT is an open-source, object-oriented Matlab toolbox that implements a range of models and algorithms for neural spike train data analysis. Such data are frequently obtained from neuroscience ...
Abstract: Software defect prediction refers to the systematic analysis and review of software using various approaches and tools to identify potential defects or errors. Software defect prediction ...
There is a quiet failure mode that lives at the center of every AI-assisted coding workflow. You ask Claude Code, Cursor, or Windsurf to modify a function. The agent does it confidently, cleanly, and ...
Microsoft says that an ongoing Universal Print sharing issue that prevents users from creating some printer shares is due to a Microsoft Graph API code change. Universal Print is a cloud-based print ...
From the tangle in your computer cord to the mess your cat made of your knitting basket, knots are everywhere in daily life. They also pervade science, showing up in loops of DNA, intertwined polymer ...
Aim Causal inference relies on correct background knowledge, which epidemiologists generally understand to come from academic experts. Our community-engaged study augments scientific domain knowledge ...
CGBridge is a novel framework designed to enhance the code understanding capabilities of Large Language Models (LLMs) by integrating rich structural information from code graphs. Our approach follows ...
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