Humans can manually test—but it’s time-consuming and mundane.
AI can automate your tests—it can analyze, learn, and adapt to respond.
Gen AI with Intelligent Testing goes a step further—it can enhance and evolve your testing based on learning from past results to improve future tests.
The opportunities for Generative Al across industries are countless. Many platforms are incorporating Gen AI to offer personalized recommendations across banking, OTT, shopping, e-commerce, art, or healthcare.
Gen AI has the potential to revolutionize the overall testing process—enhancing customer experience, reducing cost, increasing efficiency, and driving innovation in every process. Tools like ChatGPT can streamline tasks like defect summarization or suggest test scenarios that should be covered for testing.Â
There is no one-size-fits-all solution when it comes to Gen AI. Every application across every industry is unique, offering customized services. You can’t test a banking application with the same standards as an e-commerce application.
Even ChatGPT knows it can’t compete against a specialized testing provider!
You need specialized testing teams to understand and manage the application’s complexity, its industry regulations, and users, act on their needs, and accordingly provide customized testing solutions.
As per a Gartner report:
As teams start adopting Gen AI technologies, understanding the return on investment (ROI) for integrating Gen AI into testing processes is crucial.
Formula = (Financial gains from GenAI – GenAI implementation cost) / GenAI implementation cost * 100%
When calculating the overall ROI of Gen AI in testing, meeting certain guidelines is crucial to ensure ethical, secure, and transparent use of this technology.
Keeping in mind how critical gen AI will be in the testing industry, Webomates has invested in AI tools and technologies that help in holistic testing of the applications. Webomates AI framework is built on these robust AI guiding principles.
Webomates stands out as a leading provider of Testing as a Service (TaaS), leveraging generative AI to revolutionize the testing process.
Webomates’ AI engine executes a profound analysis of application workflows, followed by generating comprehensive test scripts that cover every notable functionality. Compared to traditional testing methods or other tools available in the market, this reduces the time and cost required for both test creation and execution.
Example: Creating and automating 300 test cases.
Metric | Without Webomates | With Webomates |
Time | 2-3 months with 5 testers for writing test cases. | Takes only 2 weeks, allowing for rapid test case creation. |
Update of Automation for new software build | 2-3 weeks with 5 testers for updates after a new software build. | Automation is consistently available, either triggered manually or integrated within your CI/CD pipeline. |
Impact: AI-Generated Test automation is 10X faster!
A considerable number of tests can be generated swiftly covering various facets with no manual intervention involved. Embracing Generative AI has brought dramatic improvements in speed of test case generation, while scaling back time, efforts and resources significantly.
High-quality, diverse test cases can lead to better and more comprehensive test coverage. It increases the likelihood of finding defects before release.
Metric | Without Webomates | With Webomates |
Test Coverage | Cover known path, missed edge cases. | Comprehensive coverage of edge cases, positive and negative test cases |
Impact – Better test coverage contributes to finding more defects and improving quality. 7% of Automation Fails are defects. Defect prediction improves Pass/Fail automation review by 10X!
Best practice – Take Test Coverage further with Exploratory Testing and explore the application beyond the limits of scripted tests.
Self Healing is the ability to update the test cases and test scripts when there are changes.Â
The trademarked AiHealing® feature from Webomates introduces a significant advantage when it comes to updating automation for new builds. It auto-generates new test cases to detect any modifications instantly. It adapts automatically, addressing and fixing issues such as:Â
Example: Updates to 300 test cases
Metric | Without Webomates | With Webomates |
Update Time (New Build) | 2-3 weeks | 24 hours with automated AiHeal® features |
Automation Updates for Changes | Manual update process required | Automated healing of test cases and automation |
Impact – 10 times faster to set up. 10 times faster to run and heal!
When you combine Gen AI features with other Intelligent AI solutions, it creates a powerful approach to quality assurance.
To truly gauge the ROI of generative AI in testing, it’s essential to measure the impact of time and cost savings, as well as improvements in software quality.
Operational Metrics | Testing Time: Measure the time saved after implementing Gen AI to create and automate test cases. Defect Density: Measure the number of defects found per unit of code. Cost Saving: Quantify the reduction in operational cost when using Gen AI compared to manual labor in specific tasks |
Quality Assurance Metrics | Test Case Generation: Track improvements in the speed of test case generation compared to manual testing methods. Test case Coverage: A considerable number of tests can be generated swiftly covering various edge cases, positive and negative cases, with no manual intervention involved. Software Output Quality: With such accurate test cases that cover all possible scenarios, the defects predicted and identified help improve the application’s overall quality. Test Execution Time: Track the time reduction for fixing a bug by automating test cases with Gen AI. |
Business Metrics | Customer Satisfaction Score (CSAT): Identify the impact of reduced defects on customer experience and customer satisfaction levels. Employee Productivity: Track how much strategic work an employee can do after being released from manually repetitive tasks. Time-to-Market: Track how Gen AI can accelerate product releases by reducing testing cycle time and accelerating time to market. |
Generative AI enables faster and more accurate test generation, saving weeks or even months on test creation. By automating routine and complex test scenarios alike, Webomates speeds up testing cycles and allows developers to focus on innovation and feature development.
The Webomates Testing-as-a-service patented AI testing platform will also help reduce infrastructure costs. Approaches like Shift left Testing with Gen AI test case generation lead to earlier defect identification and fixing. Lower post-production defect rates mean fewer resources spent on fixes.                                            Â
We are currently working with several teams to plan their generative AI journey, and we would be happy to be your partner as you start your journey! Please click here and schedule a demo, or reach out to us at info@webomates.com.
Tags: AI Testing, Artificial Intelligence, Automation Testing, generative ai in testing, generative ai test automation, roi in generative ai, ROI of test automation, Software Testing, Test Automation, test coverage and scability, Webomates
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