InfoQ

QCon SF: Database-Backed Workflow Orchestration Challenges Traditional Architecture

During QCon SF, Jeremy Edberg and Qian Li from DBOS presented a non-conventional architectural approach to workflow ...
InfoQ

First Keynote at QCon San Francisco 2025: Reducing Friction by Nicole Forsgren

At QCon SF 2025, Dr. Nicole Forsgren highlighted how AI accelerates code generation but reveals deployment bottlenecks, ...
IEEE

XAI Driven Software Defect Prediction Using Adaptive Feature Engineering Coupled With Autoencoder and Multi-Layer Perceptron: An Empirical Study

Abstract: Software defect prediction is essential for ensuring the reliability and robustness of software prototypes during development. The current study has proposed a novel strategy that integrates ...
IEEE

Data-Driven Analysis and Optimization of Container Terminal Operations: A Digital Yard Feature Model With Deep-Tree Cascaded Regression

Abstract: With the rapid expansion of global logistics networks, container terminals, as critical nodes in the logistics chain, exert significant influence on the overall performance of supply chains.