New software toolbox enables brain-like models to learn directly from data

Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data.
IEEE

Assessing Engineering Students’ Systems Thinking and Modeling Based on Their Online Learning

Abstract: Contribution: Model-based learning improves systems thinking (ST) based on students’ prior knowledge and gender. Relations were found between textual, visual, and mixed question types and ...
IEEE

Software Fault Prediction Using Cross-Project Analysis: A Study on Class Imbalance and Model Generalization

Abstract: Software fault prediction is a critical aspect of software engineering aimed at improving software quality and reliability. However, it faces significant challenges, including the class ...
IEEE

A Hetero-Functional Graph Theory Perspective of Engineering Management of Mega-Projects

Abstract: Megaprojects are large-scale, complex, and one-off engineering endeavors that require significant investments from a public or private sector. Such projects generally cost more than a ...
Forbes

Why The C-suite Needs To Understand The Business Opportunity In Software Engineering

Technologies like cloud and Generative AI (GenAI) have fundamentally altered how organizations everywhere operate in a remarkably short time. Today, approximately 90% of Fortune 500 companies offer ...
GitHub

Large Language Model-Based Agents for Software Engineering: A Survey

The recent advance in Large Language Models (LLMs) has shaped a new paradigm of AI agents, i.e., LLM-based agents. Compared to standalone LLMs, LLM-based agents substantially extend the versatility ...