As the name suggests, Agile methodology allows for fast project deliveries with more flexible time constraints, often increasing employee productivity and satisfaction. Unsurprisingly, this methodology’s testing is executed concurrently—from the beginning stage throughout the development process. Now the question is, which testing plays an important role in Agile methodology? Here’s what we think matters the most.
For lightweight, small-scale programs, manual development is often sufficient to meet necessary deadlines. However, companies often struggle to release a high-quality, glitchless software that follows all the required guidelines, especially within a brief time frame. In these cases, even properly adhering to several SDLC phases might not be enough. But thankfully, some of them can be automated to save time on manual labor.
Here’s what your team should be automating.
In order to keep up with the fast-paced digital economy, software developers need the best tools for automation testing. In fact, existing test automation trends have evolved in applying artificial intelligence and machine learning (AI/ML) to provide state-of-the-art functions for test generation, execution, test optimization, and reporting.