Discover proven top software testing strategies like unit, integration, AI-powered, and security testing to ensure code quality, reliability, scalability, and user satisfaction.
In our blog, we take a deep dive into the latest QA strategies, methodologies, and industry best practices driving the world of quality assurance. Follow our blog to get new ideas as to how to effectively deliver high-quality, bug-free software products, websites, and applications, while keeping costs low.
Discover proven top software testing strategies like unit, integration, AI-powered, and security testing to ensure code quality, reliability, scalability, and user satisfaction.
In 1996, the Health Insurance Portability and Accountability Act (HIPAA) established standards to protect patients' sensitive and confidential data. These standards require health insurance providers to enforce strict privacy and security measures to safeguard electronically protected health information (ePHI).
In today's business world, companies are looking for ways to improve their QA testing process and stay ahead of the competition. Creating an automation strategy is one of the most effective ways to achieve this. Test automation is crucial for businesses because it helps improve software testing efficiency and accuracy while reducing manual efforts and costs. It enables organizations to test software faster and with greater coverage, allowing them to identify and resolve issues quickly.
These days, people not only want but need to do more with less. CEOs and Product Managers want to stay competitive by releasing new features while keeping their resources lean. Is it even possible to reach these two goals without sacrificing product quality?
When planning a software project, the common question is, “Where do we start testing?” Before initiating any QA process, it’s necessary to define the scope of the test, and have a good understanding of the overall strategy. The test plan and test strategy play different roles in the SDLC, and it's important to have a clear understanding of the difference between the two.
Developing a comprehensive test strategy means never having to ask, “Where do we begin?” It's important to understand the difference between test plan and test strategy while defining the role each plays in the software development lifecycle. While a test strategy defines your QA best practices, a test plan outlines how you will practically implement them toward getting a finished product to market.
By now it’s common knowledge that QA is an essential part of the software development lifecycle. But when the need for expanded testing arises, many companies still debate about whether to train their in-house engineers or outsource those services. Like so many other problems in the software development and testing industry, there is no clear answer. The only real answer is: “It depends.”
Every single delay in launching your product hurts your brand image, and drastically reduces your potential customer base. Being late, by a day, hour or minute means that someone else gets the first chance to impress your potential customers with a solution to their problem. You may have a better product, but if the first application a customer tries is “good enough,” you may never get the chance to prove you can do things better.
As the COVID-19 pandemic shook the foundation of the global economy, organizations started preparing for the future in a completely new landscape. Many software companies started looking for QA solutions to achieve a higher level of efficiency and productivity while minimizing costs in the long term. This shift in thinking has made automation testing imperative for software companies. Check out the infographic below for advice from our QA team on selecting the right Automation testing tools.
QASource Blog, for executives and engineers, shares QA strategies, methodologies, and new ideas to inform and help effectively deliver quality products, websites and applications.
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.