The earlier you catch software bugs, the easier and cheaper it is to fix them. "Test early and often" is the mighty mantra in the contemporary software testing circuit."
In practice, this means tying the quality assurance practice with your development process, so the two work synergistically and are in the same loop at all times. More importantly, in this "shift-left" approach, quality assurance engineers are involved more intensely and earlier on in your project. Since processes run in parallel, the savings on your project are enormous in terms of calendar time, staff strength, and testing infrastructure. However, there are still some loose ends.
The manual user interface (UI) testing involved here was conceived in the bygone era of monolithic applications. Microservices apps and APIs increasingly represent the new world order in the software realm and API testing is proving very crucial. Old-world UI testing, although still relevant, is certainly not good enough to meet the rigors of API testing.
Of late, some automated UI testing tools have appeared in the market and early responses from users are quite encouraging. These applications leverage AI and its pattern recognition capabilities as well as machine learning to convert manual UI testing into API tests. By so doing, they validate APIs based on how well they meet user expectations around functionality, reliability, performance, and security.
Here's looking at some of the top trending API security testing tools in the market and all of these are open source: