InfoQ Homepage Testing Content on InfoQ
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Testing Microservices: Examining the Tradeoffs of Twelve Techniques - Part 2
A successful microservice testing strategy must effectively manage the interdependent components involved. This article presents the tradeoffs for twelve testing techniques. Each approach has advantages and disadvantages. Which technique, or blend of techniques, should be used for your application, depends on your context.
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Testing Microservices: an Overview of 12 Useful Techniques - Part 1
When building a microservice system, you will need to manage inter-dependent components in order to test in a cost and time effective way. You can use test doubles in your microservice tests that pretend to be real dependencies for the purpose of the test. However, there are many options for implementing this. This article provides an overview and tradeoffs of 12 techniques.
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Unlocking Continuous Testing: The Four Best Practices Necessary for Success
While the majority of organizations have enthusiastically embraced agile planning and development, most still find themselves unable to effectively implement continuous testing throughout the software development lifecycle. There are four best practices to help overcome this: focus on test quality, keep your tests short and atomic, test across multiple platforms, and leverage parallelization.
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2019 State of Testing Report
The State of Testing 2019 report provides insights into the adoption of test techniques, practices, and test automation, and the challenges that testers are facing. It shares results from this year’s testing survey.
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Java InfoQ Trends Report - July 2019
The InfoQ Java trend report provides an overview of technology adoption and commentary on how we see the Java and JVM-related space evolving in 2019. Key developments include the release of Java 13, the rise of non-HotSpot JVMs and the evolution of GraalVM, and the changing landscape of Java microservice frameworks.
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Test-Driven Development: Really, It’s a Design Technique
Using a step-by-step example in Java, this article provides a practical example of how to use test-driven development (TDD) to divide, test, and conquer larger problems when coding.
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Test Automation: Prevention or Cure?
A lot of teams have the tendency to view test automation as a way of speeding up delivery of software, as this is often the perceived bottleneck within the team, but if they were to take a deeper look at their development practices as a whole, they may get better results.
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Service Virtualization Meets Java: Hoverfly Tutorial
Service virtualization is a technique used to simulate the behavior of dependencies of service during automated testing. This article explores this topic, and includes a tutorial using Hoverfly Java.
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Bots Are Coming! Approaches for Testing Conversational Interfaces
Voice-based computing interfaces need testing with an adapted approached, suited for their specificity and context. Some things need to be adapted (test strategy, testing approach, validation criteria), while others can be re-used (e.g. API testing approaches and tools), and some require learning new things (e.g. testing artificial intelligence models and components).
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Tap Compare Testing with Diferencia and Java Microservices
“Tap compare” is a testing technique that allows you to test the behavior and performance of the new service by comparing its results against the old service. This article provides an example of using a new open source tool, Diferencia, and mirroring production traffic across both old and new services to compare the difference in result.
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Who is in Charge of Quality in Software Development
As silos break down, the whole team is responsible for quality in software development. As process more and more defines people and processes, how can you strive for better quality of releases?
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Test Automation in the World of AI & ML
An in-depth look at the criteria & requirements for Functional Test Automation in the agile world, and the capabilities you should build in your custom framework, or should exist the tools you choose. Anand Bagmar explores aspects like readability, reuse, debugging / rca, CI, Test Data, Parallel Execution, integration with other tools & libraries, free Vs open-source and support.
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