Building software repositories typically requires significant manual effort. Recent advances in large language model (LLM) agents have accelerated automation in...

Personas are a valuable tool for discussing accessibility requirements in software design and development practices. However, the use of personas for accessibil...

Despite many advances in query optimization, indexing techniques, and data storage, modern data platforms still face difficulties in delivering robust query per...

Context: Open Source Software (OSS) is a crucial component of over 90% of digital infrastructure underpinning industry and public digital services, facilitating...

Instruction following is critical for LLMs deployed in enterprise and API-driven settings, where strict adherence to output formats, content constraints, and pr...

This is the final paper in the five-part series The Semantic Arrow of Time. Part I identified the FITO category mistake -- treating forward temporal flow as suf...

This is the fourth of five papers comprising The Semantic Arrow of Time. Parts I-III established that computing's hidden arrow of time is semantic rather than t...

Python's Global Interpreter Lock prevents execution on more than one CPU core at the same time, even when multiple threads are used. However, starting with Pyth...

This is the third of five papers comprising The Semantic Arrow of Time. Parts I and II identified computing's hidden semantic arrow of time, the FITO category m...

MOOSEnger is a tool-enabled AI agent tailored to the Multiphysics Object-Oriented Simulation Environment (MOOSE). MOOSE cases are specified in HIT '.i' input fi...

This paper presents an evaluation of three LLMs, GPT-4, Claude 3, and Gemini, for automated Behaviour-Driven Development (BDD) scenarios generation. To support ...

Code generation has emerged as one of AI's highest-impact use cases, yet existing benchmarks measure isolated tasks rather than the complete 'zero-to-one' proce...