Vijay Pahuja, a Senior Lead Software Engineer at a global automotive technology company, whose over 25 years of experience encompasses the blend of powerful technical control, vast cloud and resilient ...
Uber’s Ceilometer framework automates infrastructure performance benchmarking beyond applications. It standardizes testing ...
Top software engineering students are discovering that the jobs they trained for are evaporating just as they graduate. As AI ...
Utilize AI to analyze application runtime data (e.g., rendering time, communication latency), obtain optimization suggestions (such as reducing component re-rendering, reusing hardware connections), ...
Abstract: Software testing ensures systems meet requirements and identifies defects while minimizing manual effort, reducing costs, and enhancing automation. Model-Based Testing (MBT) leverages ...
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 ...
Abstract: This study evaluates an agent-based reinforcement learning framework for model-based testing (MBT). The framework’s performance was assessed on three key metrics: effectiveness and ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
Upcoming software purchases should no longer be one-time contracts; they're living partnerships built on shared data and trust.
In large enterprises, hundreds or even thousands of engineering teams are working in parallel. Each team owns a specific ...