IEEE

Exploring the Integration of Generative AI Tools in Software Testing Education: A Case Study on ChatGPT and Copilot for Preparatory Testing Artifacts in Postgraduate Learning

Abstract: Software testing education is important for building qualified testing professionals. To ensure that software testing graduates are ready for real-world challenges, it is necessary to ...
IEEE

Adaptive Testing with Machine Learning: Customizing English Proficiency Assessments Based on Learner Performance

Abstract: The implementation of adaptive testing for English proficiency assessments using deep reinforcement learning (DRL) to customize evaluations based on learner performance. The dataset utilized ...
Scientific Research Publishing

Secure Offline: A Hardware-Bound Cryptographic Framework for Software License Validation in Internet Constrained Educational Environments ()

The system employs HMAC-SHA256 (Hash-based Message Authentication Code using SHA-256) for license integrity verification. SHA-256 refers to the Secure Hash Algorithm producing 256-bit hash values (see ...

How AI coding agents work—and what to remember if you use them

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Building Software Right The First Time In The Era Of Vibe Coding

Habits like testing code, reviewing each other’s work and checking changes before release can both save time and prevent ...