Is Artificial Intelligence Changing the Dynamics of Software Testing
- February 16, 2018
The software testing engineers want everything autonomous and digital. Simply putting it, they need a simple, easy and more streamlined solution to getting their tasks done on time. Maybe some years back it seemed like a forsaken dream, but now it’s possible! Rather, it is the time that the test models and monitoring designs shift to Artificial Intelligence (AI).
The 2016-17 World Quality Report claims:
“We believe that the most important solution to overcome increasing QA and Testing Challenges will be the emerging introduction of machine-based intelligence.”
Human interference will be like a pinch of salt in the ocean of test automation where machines will create, write, and execute the test cases. These machines will improve constantly with the of instant human input and feedbacks. This mechanism indicates that the test automation teams will soon have their own virtual assistants that will manage robust test coverage with higher intelligence, steadfastness, and scalability while staying under cost-effective budget.
Machine Learning is the core element of AI that makes the machines efficient to learn to flexibly adapt changes, access information, and perform intelligently according to the environment. Testers can feed their systems with thousands of test cases to adjust AI according to a different set of inputs. This way the machine trains itself to recognize relevant patterns. These logical patterns then provide valid results between presented input and expected output pair.
There are many ways how AI is already helping the world. Some of them include identifying malignant cancerous tumors, benefitting with voice assistances like Siri, Alexa, Bixby, etc., making driving easier with self-controlling cars, and much more.
The process of machine learning is rapid and is expected to dramatically transform the test automation industry in superior ways.
Artificial Intelligence (AI) bots would be trained enough for complicated practices of software testing, while effectively interconnecting with the testers’ input. AI could be exceedingly helpful in resolving the unnoticed defects in the testing results and will decrease the failure rates and expenses to promptly increase the productivity in the testing procedures.
How will Artificial Intelligence (AI) Change the Dynamics of Software Testing?
It is unfortunate that most of the companies don’t prioritize test automation because they consider it to consume extra effort, time, and costs. No matter what, software testing holds an imperative position in development and stability. But resources have always been a major hindrance in the way.
However, AI can be the ultimate solution to their misconceptions and hurdles to help them identify the more severe areas simultaneously without wasting time on repetitive testing and focusing on faster implementation.
A large part of automated testing is based on repetitive testing of test cases the software already owns, while AU replaces repetition and those activities that raise the spending cost and effort.
Humans can create intelligent and relevant test environments to adapt the AI machines identify software problems, eventually reducing human error index. Surprisingly, this mechanization involves only 20% of human analysis and creative activity in the testing algorithms. The AI-fueled mechanism will assure correctness and precision in the whole software development lifecycle since hand-executed testing just not asks for prolonged efforts but is also susceptible to inaccuracies and anomalies.
Subsequently, a load of testing on various platforms, interfaces, programmes, or browsers will end providing the business models more scalability and stability.
However, those fearing that human involvement will become scarce eventually need to stay assured that human involvement will continue to be operational and functional to jump-start the AI-Powered systems.
So, are you ready to welcome your new virtual assistants?