Predictive Test Selection is an AI-powered testing method that selects the most relevant test cases to execute based on factors like code changes, historical test results, and risk areas. This method is especially useful in large projects where running a full suite of tests can be time-consuming and resource-intensive. How Predictive Test Selection Works: Code… Continue reading Predictive Test Selection
Author: Amala Vincent
Neural Network Testing
Neural network testing involves evaluating a neural network model to ensure it performs correctly and meets its intended goals. This process includes several key aspects: Validation and Testing Datasets: Neural networks are typically trained on one dataset and tested on separate validation and testing datasets. This helps ensure that the model generalizes well to new,… Continue reading Neural Network Testing
Challenges in Cloud-Native Testing
Challenges in Cloud-Native Testing Complexity: The distributed nature of cloud-native applications can make testing more complex, requiring specialized knowledge and tools. Environment Parity: Ensuring test environments accurately mirror production can be challenging due to the dynamic nature of cloud resources. Tool Integration: Integrating various testing tools and frameworks into CI/CD pipelines can require significant effort… Continue reading Challenges in Cloud-Native Testing
Benefits of Cloud-Native Testing
Benefits of Cloud-Native Testing Efficiency and Speed: Testing is integrated into the development process, enabling faster identification and resolution of issues. Scalability: Cloud-native testing can scale to match the size and complexity of the application, leveraging cloud resources. Cost-Effectiveness: Dynamic environments and on-demand resources help optimize costs by only using what’s needed. Realistic Testing Conditions:… Continue reading Benefits of Cloud-Native Testing
Cloud-Native Testing
Cloud-Native Testing refers to the practice of testing applications that are designed, built, and deployed using cloud-native principles. Cloud-native applications are typically built with a focus on scalability, flexibility, and resilience, leveraging cloud platforms, microservices architecture, containers, and continuous integration/continuous deployment (CI/CD) pipelines. Key Characteristics of Cloud-Native Testing Testing in a Cloud Environment: Cloud-native testing… Continue reading Cloud-Native Testing
Ghost Inspector
Ghost Inspector is a cloud-based automated browser testing tool designed to simplify the creation, execution, and management of browser tests. It allows users to create and run automated tests on their web applications without writing code, making it accessible to a wide range of users, including those without extensive programming knowledge. Here’s a detailed overview… Continue reading Ghost Inspector
How Calabash Works
Calabash is an open-source framework designed for functional testing of mobile apps, specifically supporting both Android and iOS platforms. It enables developers to write and execute automated acceptance tests that validate the functionality of mobile applications 1.Writing Tests: Tests are written in Gherkin syntax, which is a part of Cucumber. This involves defining scenarios in… Continue reading How Calabash Works
Mockito
Mockito is a popular mocking framework for Java that is often used in unit testing to simulate the behavior of complex objects. This allows developers to isolate the functionality being tested, ensuring that unit tests are fast, reliable, and focused only on the code under test. Advantages of Using Mockito Isolation: Allows isolation of the… Continue reading Mockito
Calabash
Calabash is an open-source framework designed for functional testing of mobile apps, specifically supporting both Android and iOS platforms. It enables developers to write and execute automated acceptance tests that validate the functionality of mobile applications. Here’s an in-depth look at Calabash: Features of Calabash Cross-Platform Support: Supports both Android and iOS, allowing for the… Continue reading Calabash
Use Cases for Mabl
Regression Testing Mabl is ideal for regression testing, where the focus is on ensuring that new changes do not introduce bugs into existing functionality. Its self-healing capabilities and intelligent element selection make it particularly effective for this purpose. UI Testing Ensuring a consistent user experience across different devices and browsers is crucial. Mabl’s visual testing… Continue reading Use Cases for Mabl