Top 10 Best Companies Using AI in Software Testing in 2024

Top 10 Best Companies Using AI in Software Testing in 2024

Publish Date: February 13, 2024

Artificial intelligence (AI) has been a game-changer across various sectors, and its impact on software testing is particularly noteworthy. The integration of AI in software testing has reached new heights, bringing about a revolution in this domain. This transformation is characterized by more innovative, faster, and more accurate testing processes, all thanks to the power of AI.

AI and Automation: The Dynamic Duo for Cost-Effective Operations

AI and Automation: The Dynamic Duo for Cost-Effective Operations

Publish Date: January 24, 2024

Integrating artificial intelligence (AI) and automation offers a strategic approach to redefining operational processes, driving cost-effectiveness and productivity. Research has shown that integrating these technologies can lead to a 50% reduction in operational costs while tripling process efficiency. As a result, the combination of AI and automation is reshaping the business landscape. This analysis delves into the nuances of this integration, illustrating how AI and automation are revolutionizing business operations.

Localization Testing: The Role of AI and Automation Tools

Localization Testing: The Role of AI and Automation Tools

Publish Date: December 20, 2023

Localization testing (L10n testing) extends beyond translation to ensure your software application can seamlessly adapt to various languages, regions, and cultural nuances. This meticulous process guarantees that your software functions smoothly across languages while respecting diverse user bases' unique customs and preferences. But manual localization testing is no simple task. Integrating AI and automation into the localization testing process enhances efficiency and ensures precision— vital for delivering a top-notch global user experience.

Legacy Code Conversion to the Latest Tech Stack Using AI

Legacy Code Conversion to the Latest Tech Stack Using AI

Publish Date: November 21, 2023

Legacy code is a common challenge many organizations face when dealing with outdated software systems.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.

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.

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.

Balancing AI and Human Expertise: The Dual Approach to Software Testing

Balancing AI and Human Expertise: The Dual Approach to Software Testing

Publish Date: August 29, 2023

Testing remains a cornerstone for delivering impeccable products in the dynamic world of software development. With AI's emergence in this domain, there's a buzz about its capabilities. But the question remains: Can AI-driven testing truly match the discernment of a seasoned software tester? Let's dive deeper.

Empowering Retail Testing with AI and Machine Learning

Empowering Retail Testing with AI and Machine Learning

Publish Date: June 7, 2023

AI and ML are transforming the way that retailers do business, and their use in retail app testing can help organizations improve their accuracy, efficiency, and customer experience. In this blog post, we will explore the benefits of AI and ML in retail testing, the different types of AI and ML used in this context, the challenges of implementing these technologies, and best practices for successful implementation. We will also discuss the role of QASource, a software testing and quality assurance provider, in using advanced technologies to ensure that retail apps are functioning optimally.

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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.