An Overview of Voice Recognition and Voice Assistant Testing in the SaaS Industry

An Overview of Voice Recognition and Voice Assistant Testing in the SaaS Industry

Publish Date: November 14, 2023

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.

Top 5 Essential AI Skills in Demand for Testing in 2024

Top 5 Essential AI Skills in Demand for Testing in 2024

Publish Date: November 7, 2023

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.

12 Best AI Tools for Mobile Testing in 2024

12 Best AI Tools for Mobile Testing in 2024

Publish Date: November 1, 2023

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

IoT Testing - Tools, Practices, and Challenges in 2024

IoT Testing - Tools, Practices, and Challenges in 2024

Publish Date: October 28, 2023

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.

Negative Testing in Software Testing: A Guide by Experts

Negative Testing in Software Testing: A Guide by Experts

Publish Date: October 27, 2023

Software testing is vital because it allows you to test if an application is working properly. There are various types of tests that you can perform if you work in the software industry. Nevertheless, all these tests fall under one of these two classifications: positive and negative testing. Both categories are equally important, but positive testing is more popular than negative testing.

Elevating Performance Testing of Microservices With AI

Elevating Performance Testing of Microservices With AI

Publish Date: October 25, 2023

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.

How to Reduce Tech Debt with AI

How to Reduce Tech Debt with AI

Publish Date: October 19, 2023

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.

8 Reasons Your QA Team Would Use a Virtual Machine for Automated Testing

8 Reasons Your QA Team Would Use a Virtual Machine for Automated Testing

Publish Date: October 14, 2023

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.

What Is the Best Approach to Test Automation Development?

What Is the Best Approach to Test Automation Development?

Publish Date: October 7, 2023

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

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Authors

Our bloggers are the test management experts at QASource. They are executives, QA managers, team leads, and testing practitioners. Their combined experience exceeds 100 years and they know how to optimize QA efforts in a variety of industries, domains, tools, and technologies.