Systems | Development | Analytics | API | Testing

RabbitMQ is one of the most popular open source message brokers. It is designed to provide high availability, scalability and reliability for enterprise level messaging applications. RabbitMQ basically navigates exchanges between a client (producer) and a consumer, who receives these processed messages. Messages are bundled into queues based on their characteristics and adequately processed. This segregation helps organize data much easier and makes alloting similar functions to a single queue.

AI has reshaped the landscape of almost every industry around the world, and the software testing industry is no exception. The emergence of AI-powered tools for test automation has changed the way QA teams approach their testing activities. This article walks you through the new ways that you can leverage AI testing tools and lists the top 7 best AI testing tools that can bring your testing game to the next level.

Artificial intelligence (AI) has revolutionized the way we do quality assurance (QA). The immense value that AI brings to optimizing testing processes and enhancing efficiency simply can’t be ignored. Organizations that know how to incorporate AI into their testing will gain a strong competitive edge against their competitors.

End-to-end (E2E) testing is an important part of the software development process, serving as a comprehensive way to verify that applications and systems work properly in real-life scenarios. It provides a level of assurance that your application will correctly exhibit behavior from start to finish.

In the fast-paced world of software development, identifying and reporting defects is the core responsibility of testers. It's common to become familiar with the application you are testing and develop blindspots that hinder your ability to identify and investigate defects. One of the reasons for this to happen is that you rely on scripted testing only.

In today's rapidly evolving technological landscape, APIs are the backbone of seamless integration and innovation across various software platforms. As businesses and developers strive to create interconnected and efficient applications, having comprehensive and value-driven API documentation and API exploration tools within the same platform is indispensable.

SmartBear is excited to announce the release of SwaggerHub Portal, a feature of SwaggerHub allowing you to customize consumer-facing documentation for your APIs to maximize API discoverability. With its intuitive interface, you can easily create onboarding guides, reference documentation, and other materials that help developers both understand and integrate your APIs into their applications. With Portal, you can easily sync your API designs from SwaggerHub with zero context switching.

Interviews are generally anxiety-inducing, but as long as you have some solid preparation before you enter the interview room, there is nothing to worry about. In this article, we have prepared top 60 software testing interview questions, each with detailed answers and explanations, for you to consolidate your knowledge in the field. Our questions are carefully selected and categorized into 3 sections: Beginner level - Intermediate level - Advanced level.

When doing testing automation, it is extremely critical to be able to perform data-driven testing. Data-driven testing (DDT) at the test case level allows you to add one or more data files and manage data binding at the test case level. The most common approach is to provide an Excel or CSV file as input to the test case. The file is modeled per test case structure and then populated with different datasets.