Ensuring the reliability, functionality, and overall quality of software applications has become increasingly crucial. Quality assurance plays a vital role in achieving these objectives by implementing systematic processes and techniques to evaluate and enhance software quality. As technology continues to advance at a rapid pace, new and innovative approaches are emerging to tackle the challenges of software quality.
In the span of only a few months, AI has reshaped the landscape of almost every industry around the world in both positive and negative ways. Indeed, there is still a lot of room for improvement for this groundbreaking technology, but if businesses don’t embrace it, they’re sure to be left behind. In the QA industry, “AI testing” will become the norm in the next few years, bringing incredible advancements in the way we think and do software testing.
The wider adoption of Agile and DevOps practices in recent years have led to a significant shift in the way software is developed and tested. 2 emerging concepts are shift left testing (moving testing to the left on the project timeline) and shift right testing (performing testing in production). Both carry their own advantages, and in this article we’ll explore primarily the concept of shift right testing and explore the differences between shift left vs. shift right.
In this section, we’ll explore the basic manual testing interview questions that all testers should be able to answer. These questions aim to discover the candidate’s understanding of manual testing, automation testing, the differences between the two, as well as the process of testing.
Appium 2.0 has officially been released after several years of updating the Appium 1.x, and this is the most major Appium release in the past 5 years. Many significant changes were introduced, including removing deprecated features, improvements, and most importantly, re-envisioning Appium as a platform. In this article, we’ll explore in-depth on how you as a tester can leverage this transformation in their projects.
Web testing can sometimes be complicated considering the wide variety of factors involved. QA teams always need to develop a detailed test plan to guide the testing project, but it gets overwhelming quickly if they don’t have a comprehensive view over what needs to be tested. With a good QA checklist, the team can: In this article, we’ll provide you with the ultimate website QA checklist to help you thoroughly plan your web testing initiative from start to finish.
As practitioners of software development, we are all too familiar with the importance of automation. The benefits that automation brings are significant, but its adoption and the realization of its potential can be an ongoing journey, not a destination. It’s not a new concept, yet it continues to evolve and redefine the landscape of software testing.
As the world rapidly embraces digital transformation, software development, and its corresponding testing methodologies evolve to meet the increasingly high expectations of consumers. Automation, while not a new concept, continues to be a vital factor in this evolution, providing a plethora of benefits that cannot be understated. Indeed, the world of automation is mature, with countless companies leveraging it to enhance their software development lifecycle.
Quality assurance is a crucial differentiator in today's software marketplace. Gartner reports, "48% of software engineering leaders say customer or user satisfaction are among the top three objectives they are measured on." (Source: 2022 Gartner Software Engineering Leaders Role Survey). In essence, software quality directly influences customer satisfaction. A cornerstone in ensuring such quality is regression testing.
Salesforce is a game-changer in the business world, revolutionizing how organizations manage customer relationships and drive growth. As businesses increasingly adopt Salesforce as their go-to CRM platform, the need for robust Salesforce testing to fully unlock its capabilities also rises. However, Salesforce testing is quite complex, especially in terms of data management.
