11/25/2023 0 Comments Xscan in tosca![]() From Tosca version 14.3 it’s possible to create test cases, even without the code of an (web)application is written or build. Tosca has an additional AI feature, the so-called “VisionAI” engine, for smart or “intelligent” scanning modules when designing test cases. Self-healing in action: “Smart Locator” feature (testim.io) ![]() In the animated figure 1 below you see the “Self-healing” feature in action with Testim.įigure 1. Issues and problems are detected by the AI and automatically fixed without (direct) human intervention. So one of the great benefits of “Self-healing” is in terms of refactoring and maintenance. The Self-healing feature then provides support for these types of issues. In general, dealing with dynamic id’s and locators requires testers to be resourceful and adaptable, and to use a combination of tools and techniques to ensure that their tests are reliable and accurate. They may also use tools that can identify elements based on their visual properties, such as their size, position, or color. To work around this problem, testers may use various techniques to identify elements, such as using relative locators, XPath expressions or CSS selectors. ![]() When id’s and locators change dynamically, automated tests that rely on these identifiers can fail or produce unexpected results, leading to false positives or negatives. Dynamic id’s and locators can pose a challenge for testers because they can make it difficult to reliably locate and interact with elements on a web page. Dynamic id’s are identifiers that change each time a page is loaded or refreshed, while locators are the code used to identify an element on a web page, such as an input field or a button. One of the common problems “self-healing” can address, is that testers are dealing with dynamic id’s and locators when testing web applications. In general both tools support a specific level of AI in testing, and the “Self-healing” feature is a very good example. Because Tosca supports various types of testing, and also provides features such as test data management and reporting, it’s much more an “All-in-One” solution. Tosca uses the so-called “model-based approach” to test automation, which means it creates models of the application and its components to generate test cases. On the other hand, Tosca is an enterprise-level test automation tool that supports testing of both web and desktop applications. Not unimportant to mention is that Testim is partly free to use (“Community” version). It also easily integrates with various CI/CD tools. ![]() The platform is, just like Tosca, designed to be easy to use and requires no coding knowledge. Furthermore it uses natural language processing and machine learning to understand test cases and generate automated test scripts. Testim is a test automation platform in the cloud, that is designed to use AI in testing processes, and focuses on web applications. We know that Testim and Tosca are both software testing tools but they differ in several ways. Let’s further dive into AI and test automation! Especially the comparison between Tosca and Testim. But experience shows that the global (online) community is very flexible and will come up with solutions for these challenges. One of the big challenges is that testing and development of these models require a significant amount of computational power and expertise in machine learning and data science. ![]() And with the introduction of ChatGPT to the public, the possibilities are now endless. AI models such as GPT-1, 2 or 3 were already in existence and being used for a variety of applications such as natural language processing, image recognition, and decision-making systems. Why “revolutionary”? Testing with help of AI and development was already a rapidly evolving field with many advancements being made regularly. Since the worldwide introduction of ChatGPT last November (2022), the world of AI regarding testing and development made a “revolutionary” change and transformation. AI can help in automating testing tasks, identifying defects and vulnerabilities, and even predicting future issues. Furthermore AI has the potential to transform the way (software) testing is done, and we can expect to see more and more organizations adopting AI-based testing tools and techniques. By automating tedious and time consuming tasks, businesses can save money, reduce human errors, and increase their overall efficiency. Each blog will answer a specific question regarding Tosca and AI, and sometimes compared with other test tools.Įverybody knows that test automation is still becoming increasingly important for companies looking to increase their productivity and streamline their (test or development) processes. In the coming series I will introduce practical examples of using AI in testing (including automation), especially when using Tosca. This blog is the first in the series “Tosca & AI”. ![]()
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