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.
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.
UI (or User Interface) are visual and interactive elements of a software application or website that enable users to interact with the system. They are the buttons, menus, forms, icons, images that help us navigate around the app. A well-designed UI helps end users better accomplish their tasks, which contributes to better user experience, and ultimately user satisfaction.
Unit testing is a software development practice that involves testing individual units or components of a software application in isolation. A unit is the smallest testable part of an application, usually a single function, method, procedure, module, or class. Together these code units form a complete application, and if they don’t work well individually, they definitely won’t work well together.
Software testing is a comprehensive umbrella term for a wide variety of different types of testing. These testing types are categorized based on the purpose, AUTs, or approach. Understanding how these types of QA testing work will help you and your team better develop the test plan. In this article, we will learn how the testing types are categorized, 15 most popular testing types, and their place in the Software Testing Life Cycle.
Ensuring the reliability, functionality, and overall quality of software applications has become increasingly crucial. Quality assurance plays a vital role in achieving these objectives by implementing systematic processes and techniques to evaluate and enhance software quality. As technology continues to advance at a rapid pace, new and innovative approaches are emerging to tackle the challenges of software quality.
In the span of only a few months, AI has reshaped the landscape of almost every industry around the world in both positive and negative ways. Indeed, there is still a lot of room for improvement for this groundbreaking technology, but if businesses don’t embrace it, they’re sure to be left behind. In the QA industry, “AI testing” will become the norm in the next few years, bringing incredible advancements in the way we think and do software testing.
In this section, we’ll explore the basic manual testing interview questions that all testers should be able to answer. These questions aim to discover the candidate’s understanding of manual testing, automation testing, the differences between the two, as well as the process of testing.
