Software Development is an ever evolving process with new research and breakthroughs making the development process more efficient and optimal. Similarly, software testing has also seen a series of changes ranging from manual to automation, and now AI test automation is making waves in the industry. If you want to know more about how software testing has evolved then do read our blog “Evolution of Software Testing”. In this particular article, we will be focusing on the difference between Test Automation and AI-driven automation.
Automation and AI Automation are fundamentally different techniques.
Test Automation essentially means performing repetitive testing tasks based on the test scripts. Whereas, AI test automation involves the software understanding, learn, deciding and performing on the basis of these learnings. A blog that delves into the various types of AI Automation and the current capabilities that are in the industry is here.
In short, test automation isn’t “smart” and cannot “think”. While AI automation has the capability to make decisions, thus emulating human behavior, without any actual human involvement. It can spot anomalies, learn from patterns, analyze the data, and then if required, can upgrade the test scripts (self-healing). In simple words, AI automation adds a dimension of machine learning capabilities overlaying test automation.
AI automation is still in its nascent stage and will take some time to revolutionize the testing process completely. However, we have done a quick analysis and compared how Test automation and AI automation differ. Findings are presented in the following table. Read for More: Automation Vs AI Automation
In this article, we outline how can small QA teams make the transition from manual to codeless testing to full-fledged automated testing.
For example, a script to import test data into a database, a utility to generate random test data, etc.2 – Know impediments to switching to automated testingOnce you acknowledge as a team that you need to move to automated testing, the next step is to know what is stopping your team from making this move.
For example, think before picking a tool that does not work well with iFrames if your application is using iFrames heavily, or start to build out a test automation framework if your team doesn’t have any automation experience, etc.3 – Start simple and small but make it successfulA good beginning is half the job done.
Don’t go crazy with automation and start with most time taking or complex ones first or you will make your beginning harder and reduce your chances of success.
It will be easier when you choose a combination of tools and frameworks.
Codeless testing tools could cover most of your simple to medium complex manual tests.5 – Learn and practice programmingPick up the programming language that your team is most comfortable with.
Some companies which provide AI services are Amazon AI services, IBM Watson Assistant, Microsoft Cognitive Services and Google AI.
Artificial Intelligence Training is different from hardware-driven and robotic automation.
Instead of automating manual tasks, Artificial Intelligence Training Institute In Noida performs frequent, high-volume, computerized tasks trustworthy and without fatigue.
For this type of automation, the human hand is still essential to set up the system and ask the right questions accordingly.
Ducat Noida is a leading training institute which provides Artificial Intelligence Training in Noida sector 16 including AI training, Machine Learning training & deep learning training, etc.
A strategic implementation combined with appropriate data training constitutes the layers of AI-driven business automation.We, at Oodles, as an emerging Artificial Intelligence Development Company, decode business automation while highlighting key AI applications for attaining operational efficiency.
As an established Computer Vision Development Company, the Oodles’ AI team has built a CNN-based employee attendance system.
The model is integrated with a front-desk video camera that tracks employee movements with over 95% accuracy achieved.Learn more: AI Applications For Business Automation
