5 Ways Artificial Intelligence is making Software Testing an Easy Task

Ashish Sharma
Sep 1, 2018 · 5 min read

With the rapid development in the field of Artificial Intelligence, it seems that AI will soon take over most of the human tasks like software testing and can perform them with better accuracy.

The use of Artificial Intelligence (AI) is growing rapidly and it doesn’t seem to slow down anytime soon. AI has replaced humans in many tasks due to its advanced capabilities. In the field of Software Testing, AI is gradually taking over the place of humans as it completes the task with better accuracy.

Software testing is a critical process as it leads to the final stage of presenting the product to the customer. The process involves testing the performance of the software under all the possible conditions to understand the pros and cons involved while it is ready to use by the customer.

Testing ensures that the application performs well in certain conditions simultaneously safeguarding the potential failovers that a user might face. A proper testing protects not just the interest of the user but it is also beneficial for the organization in the future in terms of reliability and credibility.

With the introduction of AI, testing is slowly becoming an automated process ensuring the maximum accuracy without human errors. The only human effort required during the testing will be to help the AI learn the mandatory machine language.

Since AI is on its way to completely relieve human workforce from the mundane task of testing, let’s check out 5 ways in which Artificial Intelligence is easing the process of Software Testing.

1. Testing Process made easy

The power of AI algorithms allows the software developers to not examine and analyze the large amounts of data manually. The involvement of AI saves time and increases accuracy by relieving the software developers from writing the testing scripts as well as from sorting the data through log files.

The outputs generated by the AI give developers a full context of the changes required, excluding the guessing that human testers used to do. AI also makes it easy for the developers to locate the flaws in the code and by predicting the future complication it also increases the efficiency during the testing process.

2. Automation of the Testing

In the present competitive market, the time limitation is a big concern for IT professionals, forcing them to deliver the product without complete testing which annoys the end users of the software. On the other hand, IT companies tend to avoid hiring professional testers to focus specifically on software testing because of the limited budget.

The testing process involves repetitive steps to examine each program, and manually doing so takes a great amount of time. An AI uses a specific set of instructions provided by the developer to evaluate the functions and errors of the software which take away approx 80% of the workload from the human testers. The AI-powered automated testing improves the coding accuracy by eliminating the monotonous repetitive steps

3. Enhancing Human Creativity

In the world of Information Technology, a developer must be creative in order to provide the expected experience to the end users of the product. The extra time saved by using AI can be used to focus more on the customers need and expectations. The user likes what he sees and experience, he/she is not interested in the back end coding involved. Therefore, it is important for a developer to think of the end product from the customer’s point of view by keeping himself in the shoes of a customer.

The IT is a customer-driven industry as it based on computer functions and understanding of the available data. A software developer usually tends to the technical details after finishing with the back-end development of the product. Instead of that, focusing on building the connecting with the customer right from the beginning will not only popularize the product but will also encourage the IT companies to come up with more innovative ideas.

Since AI automates the testing process leaving the testers with minimal tasks, they can focus more on the potential circumstances which users may face while using the app.

4. Eliminating more Bugs

Bugs in a software or app ruin the user experience. That is why; testing is needed to timely eliminate such disruptions before the end product is made available to the user. When a bug is identified, it creates a lot of confusion for the developer as to how the bug was not detected or at what phase it entered the program.

The use of Artificial Intelligence put an end to such questions. While testing for bugs and errors, AI also suggests the changes required to improve the code. This information generated by the AI can be used by the human testers to determine the number of modifications needed in the coding to prevent the entrance of bugs in the program.

AI bots never stop testing the program for bugs. Unlike humans, they don’t work in shifts. Hence they keep on checking, rechecking, and clearing the bugs off the program over and over again around the clock.

5. Continuous Improvement in Testing

Testing is necessary at almost every stage of the development. It is challenging for the human testers to meet the demands attached to each test. However, a set of instructions can be fed to an AI via machine learning to generate test data which will ensure the reliability and security of the program during various tests performed at every stage.

Conclusion

AIs should not be considered as an alternative to the human testing, as it is a tool to aid the manual testers, not their replacement. However, testers should work alongside AI bots as they still require human involvement to give them instructions and feed the data. AIs can act as the perfect assistant which is programmed to lighten the repetitive work done during the testing process.

About The Author:

Ashish Sharma is the Chief Marketing Officer at WeDigTech, a Mobile App Development Company. He is responsible for marketing activities that have to do with creating, communicating and delivering offerings that have value for clients or business partners.

Ashish Sharma

Written by

Ashish Sharma is the Chief Marketing Officer at WeDigTech, a Mobile App Development Company in LA California US. He is responsible for marketing activities.

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