This blog presents a comprehensive list of the top 60 QA interview questions to help aspiring QA professionals excel in their interviews. The questions are categorized into two sections: Elementary and Advanced. Reviewing and practicing these questions will equip software testers with the knowledge and confidence needed to stand out from other candidates.
End-to-end (E2E) testing ensures that an application functions correctly from start to finish, representing how users interact with it in real-world scenarios. Automating E2E test cases for web applications significantly improves efficiency, accuracy, and reliability while reducing manual effort.
The debate between manual vs automation testing has been ongoing for years, with each method offering distinct advantages. While manual testing provides flexibility and human insight, automation testing offers speed, efficiency, and accuracy, especially for repetitive tasks. Choosing the right approach depends on the specific needs of the project, the complexity of the software, and the resources available.
With the ever-evolving software development landscape, automation testing has become a game-changer for delivering high-quality applications efficiently. By replacing repetitive manual testing with automated scripts, businesses can accelerate release cycles, improve test coverage, and reduce human errors. Whether you’re a startup or an enterprise, embracing automation testing ensures seamless software performance and scalability. In this blog, we’ll explore the fundamentals of automation testing, its benefits, and best practices to help you implement a robust testing strategy.
Quick commerce (Q-commerce), or instant delivery, is a business model focused on fast and convenient order fulfillment. Q-commerce relies on technology, including artificial intelligence, machine learning, and data analytics, to streamline supply chain management, logistics, and inventory control and ensure efficient and timely deliveries.
When automating test scenarios, it's important to validate how the data is being stored, processed and retrieved. This ensures data integrity, guaranteeing the application's overall functionality and user experience remain reliable. In this blog we will learn how to set up and add database validations in your test scripts developed with Playwright. In this blog the focus will be on Postgres set up, necessary libraries and code snippets that need to be added within your test scripts.
Software testing is a critical component of the software development lifecycle, designed to ensure the quality, functionality, and reliability of software applications. But what is software testing, and why is it so essential? Simply put, software testing is the process of evaluating a software product to identify any defects, bugs, or issues that could affect its performance. It involves a systematic approach to verifying that the software meets specified requirements, functions correctly under various conditions, and delivers a seamless user experience.
AI can play a crucial role in automating various aspects of quality assurance, from identifying bugs to running repetitive test cases with remarkable speed and accuracy. However, its capabilities remain limited when it comes to understanding the deeper human experience.
In today's fast paced development landscape, it's crucial to ensure the email functionality within your application works seamlessly. Emails are included in various flows of the application to enhance user experience - confirmation emails to validate the email id during sign ups, email OTP for logins, password resets, notifications to end users, or transactional emails. Bugs in emails can prevent new users from signing up or existing users to churn away. In this blog post, we'll explore how you can integrate MailSlurp with Playwright for robust email testing and introduce DevAssure—a next-generation platform that takes email testing to a whole new level.
We are in the age of AI Agentic Solutions, Faster Development Cycles, and Frequent Product Releases to stay competitive. The unnoticed paradigm shift in the development life cycle considerably impacts the testing teams, as they have to keep up with release plans.