Keerthika
Lead Marketing Strategist

An INFJ personality wielding brevity in speech and writing.

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Top Software Testing Trends To Follow In 2025

Keerthika
Lead Marketing Strategist

An INFJ personality wielding brevity in speech and writing.

The year 2025 will mark the beginning of tremendous changes in the field of software testing. As more and more companies across industries begin to realize the importance of the need for software to keep their businesses going, it goes without saying the need to test such software that is being created. The success and customer satisfaction of a product depends invariably on the quality of the product.

As a professional testing company, our mission is to help organizations build quality products that their customers love. To offer a complete range of testing services for products of all sizes and shapes, we update ourselves with the current trends in software testing to help every organization with varying levels of digital maturity.

We have compiled the latest trends to help you stay in the know too!

Top Software Testing Trends In 2025

1) Shift-left testing

Test early, test often!

Shift-left testing is a way of testing software earlier in the development process. This means that bugs are caught earlier when they’re easier to fix. It also means that developers are more involved in the testing process, which can help them to write better code.

Here are some examples of shift-left testing:

  • A developer writes unit tests to verify the correctness of their code before they check it in.
  • A team of developers does integration testing to make sure that different pieces of code work together correctly.
  • A customer does acceptance testing to make sure that the software meets their requirements.

Read: What Is Shift-left Testing And, Why Is It The Next Big Thing?

2) Testing in DevOps

At the intersection of Development and Operations is Quality Engineering. Testing is an integral part of DevOps thinking and it is Continuous Testing that makes Continuous Integration/Continuous  Delivery possible.

Continuous integration (CI): CI is a practice where developers check their code into a shared repository frequently. This allows for automated builds and testing to be run as soon as new code is checked in.

Continuous delivery (CD): CD is a practice where software is automatically deployed to production after it has passed all tests. This allows for software to be released more frequently and with fewer errors.

Read more on:

  • Getting QA started with DevOps
  • DevOps testing strategy
  • DevOps testing best practices
  • DevOps testing tools in this blog here

3)AI/ML-driven testing

Artificial Intelligence/ Machine Learning (Al/ ML) are not newcomers to testing. However, new advances in algorithms, predictive models, and analytics are paving the way for new opportunities to apply Al/ML, from test cases to test coverage, from scripts to reports.

Here are some notable AI software testing tools:

  • Applitools: Applitools is a visual AI testing tool that can automate the testing of web and mobile applications. It uses machine learning to identify and compare visual elements of a web page or app and can detect changes that would be invisible to the human eye.
  • Testim: Testim is a low-code AI-powered end-to-end software testing tool. It uses machine learning to automate the testing of web, mobile, and API applications. Testim can also generate test cases from user stories and acceptance criteria.
  • Mabl: Mabl is an AI-powered test automation platform that can automate the testing of web and mobile applications. It uses machine learning to identify and interact with UI elements and can generate test cases from user stories and acceptance criteria.
  • Functionize: Functionize is an AI-powered test automation platform that can automate the testing of web, mobile, and API applications. It uses machine learning to identify and interact with UI elements and can generate test cases from user stories and acceptance criteria.
  • TestCraft: TestCraft is an AI-powered test automation platform that can automate the testing of web, mobile, and API applications. It uses machine learning to identify and interact with UI elements and can generate test cases from user stories and acceptance criteria.

There are two types of AI sellers today. Number one, those who consider AI to be the “silver bullet” for all problems, and Number two, “who don’t think AI can solve all problems.” I prefer to call the first category “AI Charmers” and the second “AI Realists.”

Read more: AI Charmer Or AI Realist?

4) Testing in Agile

Agile methodologies, such as Scrum or Kanban, prioritize iterative and incremental development, frequent collaboration, and continuous delivery. Testing in Agile is an integral part of the development process and occurs throughout each iteration or sprint.

Some key principles of Agile testing include:

  • Early and Continuous Testing
  • Embracing Change
  • Collaborative Approach
  • Test-Driven Development (TDD)
  • Continuous Integration and Continuous Delivery (CI/CD)
  • Quality is Everyone’s Responsibility
  • Test Automation
  • Continuous Improvement

You might be interested in A guide to agile testing

5) Test Automation

Test automation can be a valuable tool for improving the quality of software. However, it is important to note that test automation is not a silver bullet. It is still important to have manual testers involved in the process, as they can identify issues that automated tests may not be able to catch.

Here are some of the challenges of test automation:

  • Cost: Test automation can be expensive to set up and maintain.
  • Complexity: Test automation can be complex to implement, especially for large and complex systems.
  • Lack of skills: There is a shortage of skilled test automation engineers.
  • Maintenance: Test automation scripts need to be maintained as the software changes.

Unsure of your test automation readiness? Take this 2-min quiz to find out!

Looking to make an informed decision about implementing test automation for your business? Check your ROI

6) Mobile Test Automation

The exponential growth of mobile applications inevitably leads to a demand for expedited testing via automated testing tools. Mobile-oriented tools such as Kobiton and Katalon bring the much-needed speed-to-market to the mobile application testing arena.

Check out: Getting Started with Mobile App Automated Testing: A Quick Guide

7) IOT testing

While everything from refrigerators to light bulbs goes online, every single device also needs to be tested for reliability, security, performance, and user experience, among others. Naturally, the amount of loT Testing is overwhelming, considering the diversity of protocols and operating systems across literally billions of devices today.

Exploring new trends in testing? Have testing needs and are looking for a testing partner? You’re in the right place! Get in touch with our software testing consultants today.

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