Increase use of AI and ML Reduce Test Times

1. Increase use of AI and ML Reduce Test Times QE’s keep pace using the AI-led testing for the need for frequent builds which occurs often many times in a day. Creation of scripts and autonomous test runs are done by the modern engineers in this approach. This helps to find bugs and provide diagnostic data to get to reach the root cause. The perception of AI-driven testing differs from person to person. - AI is used by some engineers for identifying objects or for creating script-less testing - Some consider it as an autonomous generation of scripts - Some use this to leverage the system data for creating scrips that would mimic the activities of the real user. Teams who are able to implement what they can in manual testing and scripts have on an average less than 15% page, action, code, and likely user flow coverage. In essence, even if you have 100% code coverage, you are likely testing less than 15% of what users will do. This is a serious issue. Appvance set out early in 2012 to rethink on the concept of QA automation. There is something that needed to change and that something is AI. 2 Steps of AI-testing It is seen that by leveraging AI, there was a 90% reduction of human efforts to find the same bug. However, it is a two-stage process. The two stages are: - Scripts can be written faster by leveraging the key capabilities of AI in the TestDesigner – Appavance’s codeless test creation system. - With AI constantly supporting while creating the automated test case, you get a technology that suggests the most stable accessors which constantly refines and improves them. It also creates “fallback accessors”. AI has the capacity to self-heal scripts which updates them with new accessors without the help of any human assistance. With the most robust accessor methodologies and self-healing capability, these AI-based built-in technologies provide the most stable scripts. 1

2. Appavance’s patented AI engine is trained and equipped with millions of actions. Like: - Once your teach it the business rules of your application, it will create a real user flow discover every page, take every possible action, get to every state, fill out every form, and validate the most crucial outcomes exactly in the way it is trained to do. All this can be done without recording or writing any script. This is called “blueprinting” an application. - The diagnostic data provided helps to find the root cause and the reusable test-scripts are used to repeat the bug. The AI-driven future is available from Appvance. The above article has been taken from GAVS Technologies, who is known for its AIOps Artificial Intelligence for IT Operations and Cyber Security and Compliance Services in USA. 2