Systems | Development | Analytics | API | Testing

Testing

The latest News and Information on Software Testing and related technologies.

What is API Automation Testing | See if API Automation is For You

Application programming interface (API) automation testing is a type of automated testing that focuses on the performance and functionality of APIs. This process can test APIs for correctness, compatibility, and efficiency. API automation testing can ensure that APIs function properly and meet consumers’ expectations. Here’s the key things to know about API automation testing: Table of Contents.

Don't Forget to Regression Test Your APIs!

Here at SmartBear, our motto is that quality isn’t just the goal, it’s the whole point. The software development process is intricate and dynamic, with constant changes being made to meet evolving user requirements and address defects. However, with these changes come potential risks. One of the most significant challenges in software development is ensuring that making modifications to an application does not inadvertently break existing functionality.

Understanding GitHub Actions: Step by Step Guide for Beginners

Diving into the world of GitHub Actions can be like opening a treasure chest for your projects. Imagine having a magic wand that automates all the tedious bits of software development, from testing to deployment, all within GitHub’s cozy ecosystem. Let’s embark on this adventure together, shall we?

The Integration Challenges & Transformative Power of IoT in the Energy & Utilities Sector

According to the U.S. Energy Information Administration (EIA), world energy consumption is forecasted to surge by almost 50% by 2050. This prediction underscores the urgent need for a concerted global push towards smarter, more efficient energy grids and resource management. According to the International Energy Agency (IEA), the global Internet of Things (IoT) deployment in power systems is expected to save $80 billion annually from 2016 to 2040, making up 5% of the total global power generation costs.

Transparency and Trust Through Kong Gateway Performance Benchmarks and Open Source Test Suites

In the rapidly evolving landscape of API management, understanding the raw performance and reliability of your API gateway is not just an expectation — it's a necessity. At Kong, we're dedicated to ensuring our users have access to concrete, actionable data to guide their operational and development strategies.

The Ultimate Testing Toolkit - 11 Essential Tools for Website Security Testing

Today, an extensive range of websites and web applications significantly impact our daily lives and businesses. From online shopping and banking to social networks and news portals, they have become essential tools for communication, entertainment, and productivity. They streamline tasks like paying bills, booking travel, collaborating with colleagues, and even ordering groceries.

Visual Testing with Percy in Selenium | Nodejs

Welcome to the ultimate guide on enhancing your visual testing skills using Percy in Selenium with Nodejs!, explains how visual testing with Percy helps you review visual changes across hundreds of pages with every release. In this quick demo, we explore: Watch as we demonstrate how to leverage Percy for visual testing using Node.js and Selenium.

How To Improve #TestAutomation Speed? | Yatender Sharma | #softwaretesting #automationtesting

In this video, join Yatender Sharma as he reveals valuable insights on accelerating test automation speed in this engaging video. Discover practical strategies to enhance your automation processes and achieve faster results. From automatic failure analysis and correction to seamless integration with Continuous Integration & Delivery (CI/CD) pipelines, Yatender covers it all.

Preventing Hallucinations in AI Apps with Human-in-the-Loop Testing

Artificial intelligence (AI) apps are becoming increasingly crucial for individual customers and businesses alike. These apps bring many benefits, such as task automation, efficient analysis of large data sets, and data-informed decision-making, making AI-powered applications highly valuable. As a result, DevOps teams working on AI apps can’t afford poor performance.