QASource Blog

So, you want to be a DevOps team? You’re ready to create a culture at your company that unites development and testing with operations. You want to see measurable results from projects that benefit both your business and your customers. You’re eager to speed up development cycles to remain competitive in your industry without sacrificing security or software reliability. DevOps can make that happen. But first, you will likely have to make some changes. Let's explore 6 must-haves for your ultimate DevOps testing success.

Traditional coding development methods have limitations and challenges, as does coding with ChatGPT and that will be no different with ChatGPT-assisted coding. In this blog, we explore ChatGPT's immense promise, its ability to overcome coding constraints, how it enables developers to tap into its problem-solving potential, and its limitations.

The GitOps is an operational framework that takes DevOps finest practices used for development such as collaboration, compliance, version control, and CI/CD, and applies them to infrastructure automation.

Log analysis is a critical aspect of the quality assurance (QA) process, enabling testers and developers to uncover defects, diagnose issues, and enhance application performance. To meet the growing demand for efficient and accurate log analysis, organizations are increasingly adopting automated log data analysis like ChatGPT. In this article, we will explore how leveraging ChatGPT enhances log analysis, boosts productivity, and delivers exceptional testing outcomes.

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.