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WHY Regression Testing
Say you are developing a banking application with countless features, like transferring funds, paying bills, and viewing account statements. Every feature needs to work together seamlessly. But what happens when you add a new feature, like a feature for applying for a loan?
It’s a never-ending cycle of “did I break it?” paranoia. Regression testing is the process of verifying that new code changes do not break existing functionalities of the application.
And when do we have to do regression testing?
Traditional regression testing is like having a dedicated team meticulously reviewing every feature after every change. It can be costly, time-consuming, prone to errors, and resource-intensive. The tests also take a while to finish, which could impact the agile team’s velocity.
WHY AI in Regression Testing
With AI on your team, regression testing becomes less of a chore and more of a strategic advantage. It’s like equipping your team with high-tech tools and advanced technologies. It can streamline and optimize your regression testing strategy, leading to faster testing cycles and improved software quality.
Even the CEOs recognize the importance of AI. If you look at the IBM research survey, IoT, cloud computing, and AI are ranked as the top three technologies expected to help deliver results. This underscores the critical role AI plays in modern teams.
Let’s Look at How AI Can Really Help You Optimize Your Regression Testing Strategy
| Strategy | Without AI | With AI |
| Generate Test Data | Creating large volumes of test data can be extremely time-consuming, especially for complex systems. | AI algorithms can analyze existing data sources, and create new datasets. Webomates test automation solution facilitates the regular updating of test data with minimal human intervention. |
| Generate Test Cases | Human error is a significant risk here as manually generating the test cases may not cover all possible scenarios increasing the risk of undiscovered defects. | AI can analyze requirements, code changes, and existing test cases, and automatically generate relevant test cases. Webomates CQ Setup process uses a multi-stage AI engine that leverages the power of Generative AI to generate test strategy, test cases, and automated test scripts. |
| Ensure Test Coverage | Achieving comprehensive test coverage is difficult as one can miss out on testing edge cases. | AI can automatically generate a diverse set of test cases, covering edge cases, and positive and negative cases |
| Execute Test Cases | Manual selection of test cases depends entirely on the tester’s experience leading to missed edge cases or incomplete coverage. | AI analyzes code changes, user behavior data, and historical test results to prioritize and select the most relevant test cases. |
| Analyze Test Results | Manually analyzing and interpreting the results can be time-consuming and prone to human error. | AI analyzes test results, identifies regressions, prioritizes them based on severity, and automates the execution of repetitive test cases. This helps testers focus on critical issues first. |
| Defect Prediction and Analysis | Slower and manual analysis on defect identification. | AI algorithms can analyze past defect data, including defect types and frequency to identify trends and patterns. |
| Test Maintenance and Self-healing | Frequent code changes put a strain on traditional test automation as they require constant maintenance. | AI can automatically update or generate new test cases based on code changes. This reduces maintenance overhead. Webomates guarantees that with AI Healing, all Test cases and test scripts will be healed in 24 hours, and a subset or a module of test cases and test scripts will be healed in 8 hours. |
| Scalability | Difficult to scale testing efforts as the application grows in complexity. | Highly scalable as AI can handle increasingly complex regression testing needs. |
| Continuous Integration, Deployment and Testing | Manually integrating code changes, running tests, and deploying applications is slower and can lead to delays. | Automated integration with CI/CD for continuous testing, ensuring quality control and faster deployments. |
Benefits of Using AI
AI-enhanced regression testing offers a range of benefits that resonate across the entire software development lifecycle, making it an invaluable tool for all stakeholders.
From a developer’s perspective…
- Early defects: Shift Left Testing helps developers identify and fix defects earlier in the development cycle. It mitigates risks and eliminates surprises by moving the testing toward the early stages of application development.
- Improved code quality: AI can provide developers with insights on code quality, helping them create robust and maintainable code.
- Accelerated development: AI-driven automation frees up development time by handling repetitive testing tasks.
From a tester’s perspective…
- Defect Prediction: AI tools such as AI Defect Predictor tool can predict defects, providing testers with actionable insights.
- Higher Test Coverage: AI can identify new test scenarios, and generate test cases, including edge cases that might be missed manually, improving overall test coverage.
- AI Healing®: AI can also adapt and heal the regression test suite based on the changes made in the application.
From a business perspective…
- Cost Savings: AI can significantly reduce the resources, time, and infrastructure required for testing by optimizing the regression testing process, thereby lowering the overall costs.
- Faster Time-to-Market: AI can accelerate product releases due to improved efficiency and testing cycles.
- Data-driven decision-making: AI provides data-driven test insights into the entire CI/CD pipeline, helping leadership make informed decisions.
- Scalability: AI-driven testing solutions can easily scale up and down based on the project’s requirements.
Ready to unleash the power of AI in your regression testing?
Regression testing is a continuous, ongoing activity that protects the overall health of the application. Our lives are becoming app-centric. We rely on apps for everything – banking, healthcare, communications, fitness, movie nights with friends, or OTT streaming.
Here’s How Webomates Can Help.
With AI, you can now think the unthinkable. Embracing AI in regression testing is no longer just about fixing bugs; it’s about proactively predicting potential issues and delivering flawless, secure, and user-friendly experiences across all sectors.
On-demand testing is suitable when your team is in any of these testing scenarios:
To learn more about what Webomates Intelligent Testing-as-a-service can do for your business, contact us today.
Please click here and schedule a demo, or reach out to us at info@webomates.com
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