QASource Blog

Micro-services architecture excels in complex, large-scale apps with diverse tech needs and evolving features. Performance testing is crucial for smooth interactions, scalability, bottleneck detection, and reliability. This series explores AI-driven techniques for assessing efficiency and system performance in micro-services architecture.

Tech debt from trade-offs during software development can result in substantial costs for your business. A survey conducted across 200 tech companies disclosed that an average of 25-40% of a developer's time is spent addressing tech debt. And 79% of tech leaders cited tech debt as a significant hurdle in achieving their business objectives, signifying the gravity of this issue. But AI is a game-changer when it comes to reducing it.

In the new era, Automation testing is expected to play a crucial role in software development and quality assurance processes in the coming years. In 2024, it is anticipated that automation testing will become even more prevalent and sophisticated because of advancements in technologies like artificial intelligence and machine learning are likely to enhance automation testing capabilities further. AI-powered testing tools can analyze vast amounts of data, identify patterns, and generate test cases, thereby increasing the efficiency and effectiveness of testing processes.

First, the answer. The best approach to test automation development has five steps: Choose the right QA partner for test automation development Identify project requirements and outline a strategy. Identify the right tools for you Build a framework and create scripts Provide a demonstration and full reporting

Product companies always deal with unfamiliar situations. Since companies are running their operations remotely, opportunistic threat actors have increased their attacks which has increased the importance of cybersecurity.

Unsurprisingly, more companies are choosing to invest in their mobile applications. After all, a customer’s experience is the key to increasing revenue, reputation, and consumer loyalty. That’s because more and more users - over 50%, to be exact - choose their mobile devices for web browsing, online shopping, and application interaction.

Businesses rely on mobile apps more than ever. In this edition of the expert series, we will discuss the common mobile application vulnerabilities along with their resolutions.

Product businesses today need to stand up to agility and scale to keep up with the demands of their users. This calls for unmatched quality assurance, reduced time-to-market, and reliability - something the traditional QA process may not deliver. Eventually, creating a Testing Center of Excellence (TCoE) represents your commitment to quality.

In today's digital age, eLearning platforms have become an integral part of education, which offers flexible and accessible learning opportunities to students of all ages. Ensuring their quality is important with the increasing demand for eLearning applications. Quality assurance guarantees that eLearning platforms deliver a seamless and enriching learning experience. Strategies for effective QA on eLearning platforms involve a comprehensive approach encompassing various aspects, including functionality, usability, accessibility, and security.