Journal logo

My dear software tester pals, time to meet our new BFF - AI!

Know how this incredible technology can help software testers

By Anusha PoojaryPublished 6 years ago 3 min read
Image source: https://pixabay.com/en/software-testing-service-762486/

Every product or app that is currently doing wonders in the market has gone through a series of vital steps, right from idea brainstorming to planning to designing to developing to testing and lastly marketing. The amazing behind-the-scene actors (read data scientists, developers, testers, and marketers) play a crucial role in turning a company’s business objectives into a reality. The time that these back-end super players invest to achieve product success is remarkable, not to mention their efforts and stress behind it. While software developers build new software programs and apps, the success factors of these programmed apps are dependent on software test engineers. Software testers assess and determine technical glitches, failures, and risks involved in the application that will be detrimental down the line.

To keep pace with competitors, companies are making their product development life-cycles more intense, slashing the deadline time spans. Testers are, therefore, expected to intensify the rapidity of their evaluation reports and send them almost instantly to developers. And in this warp-speed digital world, there is no other choice than getting smarter and quicker at work.

Let’s welcome AI to the club

Before getting into AI’s salient applications in the software testing space, let’s first run through few thorny challenges apart from tight deadlines.

  • Exploring precise use cases.
  • Lacking awareness of what actually needs to be done.
  • Demonstrating the behavior of products/apps based on the inputted test cases or scripts.
  • Evaluating the success factors of products based on stability, security, performance, and so on.

To top the list, even the most meticulous and experienced humans are bound to make mistakes. But with AI coming into the picture, testers will no longer have to worry.

By leveraging AI in software testing field, the testers can shift their focus from manual testing process to a smarter and speedier automation testing. In manual testing, the role of testers is to create test documents that cover aspects necessary for a software product to be successful. Definitely not an easy undertaking. By training the AI tool on different test cases, it can easily create test documents required for any application.

Now comes the turn of automation testers. Automation testers basically automate the manual testing life-cycles. By writing several test scripts and using an automation tool, the testers identify the controls and flag if any bug is found. AI can do an outstanding job here too. AI tools can be programmed with frequently used scripts to carry out seamless and precise testing life cycles.

Now that you have got a brief idea on how AI will make sense to all the testers out there, let’s dig down deeper and comprehend the incredible benefits that the technology offers.

Fosters precision-based testing - Like mentioned earlier, even the most skillful testers are prone to make errors. With artificially induced intelligence, the testing process will be carried out accurately and efficiently.

Streamlines testing process - With AI automation tools coming into the play, the scope of covering each and every possible test case will increase mainly. Testing the app/product with various test documents will definitely boost the confidence levels of companies when introducing the product to the consumer market.

Enables faster product development - The delivery times of testing any product will be reduced from months to days or mere hours (depending on the product complexity). Faster test results drill down to the fact that the product will be introduced within shorter timeframes.

No doubt, AI in software testing space will enable enterprises to produce better testing rewards while keeping in mind the cost constraints. In fact, faster, smarter, and streamlined AI testing tools will enable cost savings immensely. This money can then be potentially redirected towards the R&D department to discover the unwrapped parts and areas that lie within the software testing field.

industry

About the Creator

Reader insights

Be the first to share your insights about this piece.

How does it work?

Add your insights

Comments

There are no comments for this story

Be the first to respond and start the conversation.

Sign in to comment

    Find us on social media

    Miscellaneous links

    • Explore
    • Contact
    • Privacy Policy
    • Terms of Use
    • Support

    © 2026 Creatd, Inc. All Rights Reserved.