{"id":22550,"date":"2024-08-26T18:42:00","date_gmt":"2024-08-26T13:12:00","guid":{"rendered":"https:\/\/www.cigniti.com\/blog\/?p=22550"},"modified":"2024-08-26T18:42:00","modified_gmt":"2024-08-26T13:12:00","slug":"ai-for-seamless-software-testing-self-healing-revolution","status":"publish","type":"post","link":"https:\/\/www.cigniti.com\/blog\/ai-for-seamless-software-testing-self-healing-revolution\/","title":{"rendered":"Harnessing AI for Seamless Software Testing: The Self-Healing Revolution"},"content":{"rendered":"

What drives organizations to make the tough choices between speeding up releases, cutting costs, boosting product quality, and sparing time for innovation?<\/em><\/p>\n

One of the critical reasons is the time consumed in maintaining failed test cases and the inability to leverage AI in testing. Test automation is proving ineffective and outdated due to the high cost and time needed for maintenance.<\/p>\n

Research indicates that while setup accounts for only 20% of the software test automation cost, maintenance consumes 80%. With the rapid pace of agile development and constant UI changes, many test scripts fail, forcing testers to spend time updating and fixing them. This creates significant roadblocks that slow down test automation efforts.<\/p>\n

The constant need for test maintenance demands more time, money, and resources and decreases return on investment (ROI). The inefficiency in maintaining these test scripts detracts from the benefits of test automation.<\/p>\n

However, by integrating Artificial Intelligence into test automation, businesses can significantly reduce the burden of script maintenance. AI-driven self-healing mechanisms in AI testing automatically adapt to changes, minimizing manual intervention and enhancing testing efficiency. This innovation is key to faster, more cost-effective, and higher-quality software releases.<\/p>\n

The AI-Based Self-Healing Solution<\/strong><\/h2>\n

This is where self-healing test automation comes in. Self-healing test automation dramatically reduces continuous maintenance by automatically detecting and adapting to object changes, ensuring seamless operation without manual intervention.<\/p>\n\n\n\n
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In 2023, the global AI-enabled testing market was valued at USD 426.1 million and is projected to grow to USD 2 billion by 2033, with a compound annual growth rate (CAGR) of 16.9%.<\/p><\/blockquote>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Understanding AI-Based Self-Healing Test Automation<\/strong><\/h2>\n

Traditional test automation tools rely on predefined application models that outline components, objects, and their attributes. These static definitions serve as the basis for identifying and interacting with various components within the application. Every time the application is updated, the components and their parameters change. However, conventional test scripts aren\u2019t built to accommodate these changes and only function with static definitions. Any modification to components will break the scripts, leading to what is known as the fragility of test scripts.<\/p>\n

When a fragile script breaks, an automation engineer must step in, identify the issue, and fix the script. The engineer must inspect the object to find new property values, update the script or object repository, and rerun the test. This entire process of manual object identification, maintenance, and troubleshooting can take up to 15 minutes per occurrence. While 15 minutes may not seem like a lot, the time adds significantly when considering project size, application maturity, and development stage.<\/p>\n

On average, one application deployment per week can encounter about 35 object changes, resulting in nearly nine hours of script maintenance.<\/strong><\/p>\n

Self-healing test automation harnesses artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) to automatically adjust scripts in response to modifications within the application’s user interface (UI).<\/p>\n

How Does Self-Healing AI-Based Test Automation Work?<\/strong><\/h2>\n

The primary reason scripts break is changes in the objects\u2014items in the application’s UI, such as buttons and text boxes. Each object has specific properties that help the scripts identify and interact with it. When these properties change, a static script fails to identify the object, causing the test to break.<\/p>\n

AI-powered self-healing mechanisms can detect objects even after their properties have changed, effectively negating the need to alter the script. Here\u2019s how it works:<\/p>\n