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What are the best strategies for testing integration between programming languages and frameworks?

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Integration testing is a crucial step in application development, especially when you use different programming languages and frameworks. It ensures that your components work together as expected and meet the functional and non-functional requirements. However, integration testing can also be challenging, as you need to deal with compatibility issues, dependencies, interfaces, data formats, and more. In this article, we will explore some of the best strategies for testing integration between programming languages and frameworks, and how they can help you improve your code quality and reliability.

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1 Choose the right tools

One of the first things you need to do is to choose the right tools for your integration testing. Depending on your languages and frameworks, you may need different tools for mocking, stubbing, simulating, or verifying the interactions between your components. For example, if you use Java and Spring Boot, you may want to use tools like Mockito, WireMock, or Spring Cloud Contract. If you use Python and Django, you may want to use tools like pytest, requests-mock, or pact-python. You should also consider using tools that support cross-language testing, such as Postman, SoapUI, or Rest-Assured.

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Scott Harlan

Application Developer at Harlan Electric Studio
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I have always thought that system testing was tedious and duplication of work. In application development, we spend a lot of time developing inputs and outputs to drive a system. However, each instance of these aspects has similar hard coded tests. I wrote many of these for an Angular app. I propose creating a system that address the meta aspects of these systems, creating generic tests for the behavior instead of the instance. Things like generic form testing where the details are gleaned off the configuration of the form. With such a system in place, encapsulating the testing from the code, this code can be extended to by adapters to align with infrastructure integration. Last note, data testing is a series of transaction.

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Rémy Wehrung
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Tests système fastidieux et redondants ? Pas nécessairement ! Encapsulez les tests dans des modules génériques et configurez-les pour chaque instance. étendez le système avec des adaptateurs pour l'intégration et les tests de données.

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2 Define clear contracts

Another important strategy is to define clear contracts between your components. A contract is a specification of what each component expects and provides in terms of inputs, outputs, and behaviors. By defining contracts, you can ensure that your components follow a consistent and standardized interface, and that they can be tested independently and in isolation. You can also use contract testing tools, such as Pact, Dredd, or Spring Cloud Contract, to validate that your components adhere to the contracts and detect any discrepancies or violations.

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Rémy Wehrung
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Définissez des contrats clairs entre vos composants pour garantir une interface cohérente et standardisée. Cela permet des tests indépendants et l'utilisation d'outils de validation

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3 Use test doubles

A test double is an object that mimics the behavior of a real component in a controlled way. Test doubles can be useful for testing integration between programming languages and frameworks, as they can help you isolate the component under test, simulate different scenarios, and avoid external dependencies. There are different types of test doubles, such as mocks, stubs, fakes, spies, or dummies, and each one has a specific purpose and scope. You should use test doubles wisely and appropriately, and avoid overusing or misusing them.

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Rémy Wehrung
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Un double de test imite un composant réel pour faciliter les tests d'intégration. Il permet d'isoler le composant, simuler des scénarios et éviter les dépendances externes. Différents types de doubles existent (simulacres, talons, faux, espions, mannequins) avec des objectifs spécifiques. Utilisez-les judicieusement.

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4 Apply test pyramid

The test pyramid is a concept that describes the optimal distribution of tests across different levels of granularity and scope. The test pyramid suggests that you should have more unit tests than integration tests, and more integration tests than end-to-end tests. This way, you can achieve a balance between speed, coverage, and reliability of your tests. You should also follow the best practices for each level of testing, such as using test-driven development for unit tests, testing happy and unhappy paths for integration tests, and testing user journeys for end-to-end tests.

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5 Automate and document

The last strategy is to automate and document your integration tests. Automation can help you run your tests faster, more frequently, and more consistently, and also provide you with feedback and reports. You should use automation tools that support your languages and frameworks, such as Jenkins, Travis CI, or GitHub Actions. Documentation can help you communicate and document your test cases, results, and issues, and also provide you with traceability and accountability. You should use documentation tools that are easy to use and maintain, such as Markdown, Jira, or Confluence.

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6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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What are the best strategies for testing integration between programming languages and frameworks?

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1 Choose the right tools

2 Define clear contracts

3 Use test doubles

4 Apply test pyramid

5 Automate and document

6 Here’s what else to consider

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