Testing is an essential element of the increasingly competitive technology industry. It is an integral part of any Software Development Life Cycle or SDLC and can impact the result of all aspects of the project, such as time, cost, and quality. STLC, or Software Testing Life Cycle, is a series of operations carried out by the testing team to ensure the quality of the software or product, and it solely addresses the testing phases. Knowing the entry and exit criteria for STLC is essential.

Several testing procedures and techniques find flaws throughout the Software Testing Life Cycle, abbreviated STLC. Defect leakage measures the percentage of problems that leak from one testing stage to the next, demonstrating the efficacy of testing. However, because certain defects, faults, and mistakes are present at the most internal level of the program, even the most well-known and efficient testing processes cannot locate and identify them all.

Learn about our reimagined mobile test automation pyramid for modern DevOps practices. With the mobile market growing explosively and customer expectations increasing just as rapidly, today’s mobile app development and QA teams are under tremendous pressure to deliver constant updates for their apps while providing a continuous and seamless user experience.

If you are reading this, you have likely already identified a high-level need to scale or improve your current approach to testing without the mass hiring of in-house testers, or shifting left to make devs fully responsible for QA. Partnering with a software testing company is a great start, but what if a vendor offers multiple models? How can you define which software testing staffing model is right for you?

Learn about localization testing, including its benefits, when to use it, and how to perform localization testing. One of the most persistent challenges for global brands is to provide a positive customer experience that appeals to the target market's local audience. These brands must create a product that is relatable and flexible enough to accommodate an individual user’s native language and culture as well as regional settings like currency, date, and time format.

We have great news for Oracle customers. With companies under pressure to increase the pace of innovation while managing costs, the right quality assurance strategy can be a competitive differentiator. To help you achieve this advantage, Tricentis and Oracle are partnering to bring you AI-powered testing solutions that will accelerate and de-risk your entire Oracle modernization journey. Tricentis now supports Oracle Cloud Infrastructure capabilities and is available on Oracle Cloud Marketplace.

When it comes to QA Testing Software, there are two main categories: functional testing and non-functional testing. Both have their advantages and are constrained in their own ways. As we have explained in different occasions, the Quality Assurance Testing is carried out in a manner chosen by the user but remember that by using functional testing, you can see what the process is doing and how the system responds to different inputs.

When performance testing you need a set of requirements to measure your response times against. When defining these you should do so with your end users or business teams. It is relatively easy to predict volumes, load and users that will use your application as you will no doubt have some data based on your current systems. It is a lot harder to agree on what the response times of your application should be.

Artificial intelligence (AI) is advancing at a breakneck pace, and it is swiftly emerging as a potential disruptor and vital enabler for almost every business in every sector. At this point, the technology itself is not a barrier to the mainstream use of AI; rather, it a collection of challenges that, unfortunately, are far more human, such as ethics, governance, and human values, are.