QASource Blog

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.

Modern applications are highly complex and require a lot of testing. A common complaint of QA and software developers is the lack of time given to test out every facet of a program. A risk-based testing method can address this issue. This method focuses on risks that the software is likely to encounter based on its complexity, intended use case, and design. Read on to learn more about risk-based testing and its importance to software development.

The healthcare industry is facing a myriad of challenges in the current times, ranging from the increasing demand for quality patient care to regulatory compliance and rising costs. The traditional approach to healthcare delivery is no longer adequate to meet these challenges, and there is a growing need to adopt modern software development practices such as DevOps and Agile methodologies. These practices can help healthcare organizations improve their software delivery processes, enhance patient experiences, and drive business growth.

According to a report by Global Industry Analysts Inc, the global API testing market is projected to reach a staggering 1.8 billion USD by 2026, witnessing significant growth from 641.6 million in 2020. This exponential growth highlights the increasing recognition of API testing as a critical component in ensuring the reliability and success of modern software solutions.

In today's rapidly evolving business landscape, organizations rely heavily on SAP mobile applications to streamline processes and enhance productivity. According to a recent report by Thrive My Way, 77% of the world’s transaction revenue goes through an SAP system. However, with the increasing complexity of these applications and the diverse range of devices, operating systems, and network configurations, ensuring optimal performance and functionality becomes a challenge.

Discover the benefits of No-Code Kubernetes and Harpoon Docker Extension for Kubernetes cluster management. Deploy and manage clusters with drag-and-drop tools without coding. Learn about Harpoon's custom integrations and third-party capabilities.

With the increasing adoption of SaaS (Software as a Service) platforms, the number of cyber threats and attacks is also rising. SaaS platforms store sensitive and confidential data, making them a prime target for cybercriminals. As a result, it is imperative to ensure the security of SaaS platforms to prevent data breaches, data theft, and unauthorized access. The potential loss of data and its impact on a company's reputation can be catastrophic. Therefore, implementing robust cybersecurity in SaaS is critical to protect SaaS platforms and their users.

In the dynamic realm of software development, ensuring the quality and dependability of applications remains a paramount concern. Within this context, software testing emerges as a vital component, with test engineers diligently validating software functionality, performance, and user experience. As software systems become increasingly intricate, effective time management becomes imperative in the testing process.

Anyone who wants to develop a web application requires the physical hardware necessary to operate a server, which is a time-consuming and costly endeavor. This is where serverless computing comes into play.