Leverage Automation Testing To Ensure Software Quality In The Techno-era

Sustaining software quality is more important than ever, where innovation and rapid development are the fundamental pillars of development. According to a study(1) by MarketsandMarkets, the automation testing market is predicted to grow at a CAGR of 14.5% from 2023 to 2028, from USD 28.1 billion in 2023 to USD 55.2 billion.

Automation testing ensures software quality by providing fast and reliable validation of an application’s functionality across various scenarios. It also effortlessly connects with continuous integration and deployment pipelines, enabling test coverage, including complicated and edge cases. 

Revolutionalize firms with Automation Testing and enhance testing processes’ efficiency, accuracy, and scope.

Advantages of Automation Testing

  • Faster test coverage

Tests can be run continuously without human assistance, saving time.

Automation reduces testing time, enabling parallel testing across multiple environments, browsers, and devices. In particular, automated tests can do repeated activities like regression testing far more quickly than manual tests.

Use Case:

One of the popular retailers that come under Fortune 100 in the US increased the efficiency by automated testing of their facilities management application. They were able to deliver software more quickly and with more reliability because of this automation, which also helped them shorten testing times, improve test accuracy, and optimize their testing procedures. 

Through Automation Testing which focused on increasing test coverage while minimizing test case count, the retailer decreased the overall number of test cases from approximately 300 to 96. Thus, the solution improved customer satisfaction by managing complicated testing scenarios and ensuring their apps’ strong performance and quality.​

  • Regression Testing

Automation testing is a great help for regression testing because of its dependability, efficiency, and speed. Automated testing ensures that new problems are not introduced into the product by quickly executing complex and repetitive test cases. As a result, automated regression testing facilitates continuous integration and delivery processes by improving overall software quality.

Use Case:

One of the leading ISPs sought to revolutionize the travel sector by giving clients access to solutions to stay connected from anywhere. They aimed to ensure that the software updates were not causing the program to crash and that the customer experience was exceptional.

Automation helped them design 452 test cases in 113 hours. They were supported by a full regression test suite without having to spend maintenance time on a test automation framework or subject its personnel to a learning curve. Furthermore, with a comprehensive set of automated test cases that cover every important workflow in the program, they can now carry on releasing updates for it.

  • Easier compatibility across Cross-browsers and devices 

Automation testing makes cross-browser compatibility easier by enabling the creation of test scripts that run in many browsers, including Chrome, Firefox, Safari, and Edge. By allowing for simultaneous testing across several browsers, these tools help to ensure consistent functionality and swiftly detect compatibility problems.

Use Case:

The client is a top US-based supplier of online workflow solutions in the form of research literature for several sectors, including risk management, science, medicine, and law. They sought to automate test cases for their main application’s admin and user portals for various OS operating systems and browser combinations.

Through effective Automation Testing, they ran numerous scripts simultaneously in various browser/OS combinations. This also allowed them to find functional faults in browsers.

  • Execute lengthy test scenarios

Different test scenarios may involve repetitive and time-consuming procedures when conducted manually. Testers may easily and quickly complete extremely complex and lengthy test scenarios through automation testing solutions. 

Use Case:

The client is a popular Fintech company that had to oversee and carry out 300 regression test cases for their financial platform built on an API. They had to deliver complicated updates and bug fixes every two weeks.

By automation testing, the client linked JavaScript’s AXIOS library with CI/CD workflows, sped up test execution, and documentation and tagging were made easier for testing in the future.

Key Strategies for Ensuring Software Quality by Automation Testing

  • Devise a clear test strategy: Clearly define the goals, scope, and success criteria to ensure comprehensive coverage. The main objective is to provide information about the risk, capabilities, and functioning while developing a trustworthy, repeatable procedure.
  • Emphasize by prioritizing Test Cases: Start by automating the most time-consuming, repetitive, high-risk tests, prone to human error, cover commonly used functionality, and extend many builds, platforms, or OS configurations.
  • Choose the right tools: Select automation tools based on your testing requirements and technological stack. Choose the best testing tool and framework considering your application, team experience, and financial constraints. 
  • Maintain Test Scripts: By ensuring that the same procedures are followed every time, test scripts reduce the possibility of human mistakes. Test scripts should be updated and rewritten often to accommodate changes to the application.
  • Construct CI/CD Pipeline Setup: Choosing what to test and how to automate CI CD pipelines are critical decisions that ensure efficiency without sacrificing quality. Include regular and early testing in your CI/CD workflow to find bugs. 

Major Future Trends in Automation Testing

Automation testing is developing quickly due to shifting industry requirements and technological breakthroughs. Future trends in automation testing include the following:

  • AI and ML Integration

Automation testing is being revolutionized by Artificial Intelligence and machine learning, which makes it possible to create, run, and maintain tests more intelligently. These systems can automatically build test cases, anticipate the most likely areas of failure, and adjust to changes in the application. As a result, manual updates take less time and effort, and test results are more accurate.

  • Containerization and Microservices Testing

As microservices and containerized systems gain popularity, testing methodologies must change accordingly. It will become necessary to use automation tools like Docker and Kubernetes that facilitate testing in containerized systems. These tools must be able to manage microservices’ dynamic nature and guarantee consistent testing across various setups.

  • Codeless Automation Testing

A Tester can automate tests without writing code by codeless automation solutions. These technologies generate test cases automatically by utilizing AI and machine learning to comprehend the application being tested. As a result of this trend, test automation software will become more accessible, allowing more team members to participate in the testing procedure.


In the upcoming years, adopting automated testing will be crucial to preserving competitive advantage and producing software that satisfies customers’ changing needs for any organization. Thus, firms may confidently traverse the complexity of contemporary software development by utilizing automation testing with quality assurance and innovation at every pace of their journey.



  1. https://www.marketsandmarkets.com/Market-Reports/aut omation-testing-market-113583451.html?utm_source=prnewswire&utm_medium=referral&utm_campaign=paidpr


Author: GeakMinds

GeakMinds, a trusted IT and Analytics consulting firm and a classical partner of Microsoft brings over ten years of experience in delivering Data & AI, Digital Transformation, Testing, and Staffing solutions.