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Basel 3.1: Strengthening Global Financial Framework

The financial crisis of 2008 exposed vulnerabilities in the global banking system. In response, the Basel Committee on Banking Supervision (BCBS) introduced the Basel III reforms, a set of regulations designed to strengthen banks’ capital adequacy and risk management practices. Basel 3.1, the latest iteration of these reforms, is set to be implemented in major jurisdictions like the EU and UK in 2025.

Decoding the Dynamics of Software Development Team Structure

In the realm of software development, success isn't merely about the lines of code; it's about the people behind them and how they collaborate. The structure of a software development team lays the foundation for efficient communication, effective problem-solving, and ultimately, the delivery of high-quality products. In this exploration, we delve into the intricate layers of software development team structures, uncovering the roles, methodologies, and strategies that drive innovation and productivity.

From Acquisition to Integration: How SmartBear is Elevating API Development with Stoplight

Back in August, SmartBear acquired Stoplight, a leader in API design and documentation. Since this acquisition, our focus has been on seamlessly integrating Stoplight's open-source tools—Spectral, Elements, and Prism—into SwaggerHub. Our goal is to simplify complex API development tasks and address the common challenges encountered in API development.

Introducing Tricentis Copilot solutions

We are thrilled to announce Tricentis Copilot solutions, a collection of advanced generative AI capabilities available across our products that help customers boost their efficiency throughout the entire testing lifecycle. With Tricentis Copilot solutions, you can autogenerate manual tests from requirements, optimize your portfolio, autogenerate custom code, and get meaningful insights.

The Rainforest Method: 5 essential QA testing best practices

Over a decade of helping startups improve quality, we’ve arrived at a set of QA testing best practices that work for teams shipping fast and frequently. They fit neatly into five organizing principles: Together, these principles represent The Rainforest Method. We’ve built our QA solution to make it easy for you to put this software testing method into practice and develop a quality product. A few notes: Contents Toggle.

Testing generative AI systems and red teaming: An introductory guide

The topic of testing AI and ensuring its responsibility, safety, and security has never been more urgent. Controversy and incidents of AI misuse have increased 26-fold since 2021, highlighting growing concerns. As users quickly find out, AI tools are not infallible; they can make mistakes, display overconfidence, and lack critical questioning. The reality of the market is that AI is prone to error. This is exactly why testing AI is crucial. But how do we test AI?

JMeter JMesPath Extractor

Extracting values from server responses is a common operation in scripting scenarios for performance testing. In most cases it is a mandatory step in order to reproduce realistic traffic using dynamic values generated on server side like sessionIds or Tokens. The most known way to extract values is using regular expression. While regular expressions are efficient for raw text-based responses, they are less efficient for structured responses like XML or JSON.

Why should you choose a Test Management tool that integrates natively with Jira?

With the ever-increasing pressure to release faster and better due to the growing user expectations about quality, reliability, and zero tolerance for defects, effective test management in the development of applications has never been so critical. Xray is a Jira-native application designed to streamline test management processes within your project management tool.

Unleashing the Power of Digital Assurance in the Age of AI and Gen AI: Charting the Way Forward

In the pursuit of excellence, Quality Assurance (QA) has embarked on a profound journey of automation. Beginning with manual testing as its foundation, QA has progressed steadily through functional automation and smart automation, culminating in its embrace of Intelligent automation and Codeless automation. This evolution mirrors our transition from traditional waterfall models to agile methodologies.

Maximizing Software Quality Through Comprehensive Test Coverage Techniques

In a world where digital innovation propels us forward, the stakes for software development have never been higher. Quality and reliability are the twin pillars upon which the reputation and success of software are built. Yet, as the complexity of software systems escalates and development cycles accelerate, ensuring software quality through meticulous testing has become quite a challenge.