QASource Blog

Regardless of the industry vertical, it is prudent for businesses to test their systems before going live to the public. This way, it’s easy to ensure efficiency and avoid expensive mistakes. System testing is the last line of defense before releasing a product. It's also the most comprehensive type of testing because it covers everything from business requirements to the end-user experience.

Explore IoT security testing in this newsletter, covering landscape insights, testing importance, AI-driven use cases, dedicated tools, and best practices. Emphasizing the critical need to secure interconnected IoT systems in today's digital age.

In today's business world, companies are looking for ways to improve their QA testing process and stay ahead of the competition. Creating an automation strategy is one of the most effective ways to achieve this. Test automation is crucial for businesses because it helps improve software testing efficiency and accuracy while reducing manual efforts and costs. It enables organizations to test software faster and with greater coverage, allowing them to identify and resolve issues quickly.

Unlock the potential of AWS Generative AI in DevOps. Experience streamlined code development, improved collaboration, and optimized CI/CD. AWS's cutting-edge AI simplifies and enhances DevOps workflows, making them more efficient.

Legacy code is a common challenge many organizations face when dealing with outdated software systems. As technology evolves rapidly, businesses must keep their tech stacks up to date to remain competitive. Converting codes to a modern tech stack can be complex and time-consuming, but AI makes it easy and efficient. This blog covers how AI can streamline the legacy code conversion to the latest tech stack, providing numerous advantages such as efficiency, accuracy, savings, and risk reduction.

Voice recognition and voice assistants have become central to the software as a service (SaaS) industry, changing how we interact with SaaS and promising benefits for businesses and users alike. But if you plan to offer a voice assistant or other voice recognition tool, it’s important to thoroughly test your offering before bringing it to market.

Analysts predict AI's market size in software testing will reach an impressive $4 billion by 2024. But the impact of all this AI is tied to the precision and robustness of the underlying models.

AI in mobile testing is booming, pushing developers to stay competitive and enhancing regression testing, script, data, performance, usability, and visual testing.

Faced with many IoT platforms, communication protocols, and the ever-evolving landscape of security threats, manual testing becomes impractical. The answer is clear–your team requires the right IoT testing tools for a streamlined QA strategy. Did you know? Over 70% of IoT projects encounter challenges related to security and performance during their development lifecycle. This fact underscores the importance of robust testing methodologies. This guide aims to provide the insights that QA teams need, simplifying the intricacies of IoT testing. By understanding the basics, leveraging user-friendly testing tools, and acknowledging industry challenges, your development cycle can confidently deliver a secure, high-quality product that aligns with consumer expectations.