We know, Testing software manually is a necessity in the testing process. There are automation options to the process but, well, they are not replacements to the manual process. However, technology might get ahead of humans, it won’t replace us. But when one says this, it is highly probable that he/she is underestimating the potential of Automated testing.

Automated testing has its benefits when it comes to efforts, budgetary issues, and manpower. One cannot neglect the fact that it is a more efficient way than manual testing on some parts.

But the potential of automation doesn’t stop here. Artificial intelligence is the way of the future. Every field now has one or the other aspect which comprises of AI technology. May it be Customer service, Product Manufacturing, and whatnot. Anything and Everything.

While overpowering over all other technical fields, AI has its perks even in software testing. Feeding the necessary data, setting the necessary software algorithm and you are good to go for testing with the help of Artificial Intelligence.

We, at VTEST, have dug deeper into this and wrote this blog to let you have some insights about the benefits of AI testing. Before going into the main topic, we will first see the deficiencies of manual testing.

Manual Testing: Deficiencies

Don’t get surprised. We know that Manual testing is essential in the methodology of testing. We are not discarding it. But let’s face it. It has its drawbacks. Below, we tried to list the basic shortcomings of manual testing.

• Limitation in testing circumstances.
• Maintenance of the code according to the Quality assurance tendencies.
• Time-consuming.
• Limitations in the possibilities of testing scenarios.
• Absence of Automated techniques.

Now to the main part. Let’s see what AI has to offer in software testing.

Advantages of Artificial Intelligence in Software Testing

As noted earlier, AI saves a lot of trouble considering the efforts and time invested in the testing process. Apart from that,

1. Quality

AI ensures better quality in whichever technology it touches. It’s like Midas’s touch. So why not testing? It has a grasping power which makes it learn complex algorithms and automate the whole process.

This ultimately allows it to improve the requirements of test cases and models. It also helps the process to get more qualitative by providing better code generators and a more refined type of text detection.

2. Expeditious and Dependable

The quickness with which the AI technology works has no beat. This speedy nature of AI helps developers to develop more mature software in a short time as the testing time decreases.

It is much more reliable in the sense of repeating errors and even making silly errors in the first place. The human mind is full of thoughts and can make several errors which AI avoids.

3. Instant Feedback

Another benefit of AI is the quick feedback of the test. This helps the tester to know the status of the software quickly, reducing testing time. This ultimately helps the developer and the company to correct the bugs in a shorter time.

4. Attributability

The storage of all the test cases, results, bug reports, etc. becomes easily and quickly accessible with AI. It automatically lands you at any file you want within seconds. This benefit of traceability also makes the AI experience one of a kind.

This aspect will be mainly relatable to the testers and developers in the team as finding a missing test case can become a cumbersome task. AI makes it easier.

5. Integrated Platform

A single integrated platform is used in this type of testing. It is more easy-going with the landscape of the client’s technical needs.

The projects are developed upon open source stack which makes the project more flexible and economical. This helps AI to work smoothly.

6. Automation in Scripting

AI will automatically execute the test design without the need to writing a test script. This makes things much more efficient.

AI helps the system to go through the log files and helps it to improve the coverage of the system. The test planning also gets improved due to this.

These are just pointers about the benefits of AI in software testing. Apart from this, AI also helps the testers and developers to expand their skillsets in various scopes. Below is a list.

• Precision in the estimation of timelines.
• Automation in decision making in the whole testing process.
• Self-learning capabilities of apps.
• Using better code generators, one can quickly turn any idea into code.
• Bugs can be quickly identified and accordingly remedies can be taken.
• Fast and easy human interaction.

Conclusion

As mentioned earlier, AI can’t and shouldn’t replace humans. It is not supposed to do that. It is expected to help humans to have an easy way to work out their tasks. As in all other fields, AI is performing similarly in the testing industry. It is not its job to make everything automated and remove the human factor from the testing process, but to make the process smooth for humans.

It is a mistake to be completely reliable on any one of the two elements. To have an efficient and optimum work culture, both of the working elements should coexist.

How can VTEST help

Here, we have found the perfect balance to work with both the mentioned aspects of the process. With having manpower of technical achievers and specialized technicians, we have also integrated AI in our work ethic.

Finding the right balance in these two is the key to a flawless testing process which ultimately results in a seamless user experience of the application or software. We, at VTEST have found a balance to work in harmony.

To have a bugless app tested with utmost compassion of human mind and highly practical working code of AI technology,

Don’t just test, Let’s VTEST.

About VTEST

VTEST is an independent software testing company catering to product and service teams across the globe. We are a team of software testers who are passionate about quality and love to test. We develop an in-depth understanding of the applications under test and include software testing services strategies that deliver quantifiable results.

In short, we help in building incredible software.