A méthode de logiciel testing that examines the functionality of an application without peering into its internal structures or workings.
- Méthodologies : Ingénierie, Conception de Produits, Gestion de projet
Black-Box Testing

Black-Box Testing
- Assurance qualité, Contrôle de qualité, Gestion de la qualité, Software Testing, Méthodes d'essai, Tests d'utilisabilité, Tests auprès des utilisateurs, Validation, Vérification
Objectif :
Comment il est utilisé :
- In black-box testing, the tester provides inputs to the system and observes the outputs, without knowing how the system works internally.
Avantages
- Is an effective way to test the functionality of a system, can be performed by testers who do not have a deep understanding of the system's internal workings, and can be used to test a wide range of systems.
Inconvénients
- May not uncover all of the bugs in a system, can be difficult to design good test cases, and may not be suitable for all types of systems.
Catégories :
- Ingénierie, Qualité
Idéal pour :
- Testing the functionality of a system without knowledge of its internal implementation.
Black-box testing is commonly applied in industries such as software engineering, automotive, telecommunications, and healthcare, where functionality needs verification without deep technical knowledge of the internal workings. This methodology is particularly effective during the system testing phase of development, often used after unit testing and integration testing have occurred, allowing teams to evaluate end-user experiences and ensure that specifications are met. Testers might include quality assurance specialists, end users, or even business stakeholders who can provide valuable feedback based on their interactions with the system. Since black-box testing can be executed without understanding the code, it is particularly advantageous in agile environments where cross-functional teams work together, as team members from non-technical backgrounds can participate effectively. The testing process can involve various techniques such as equivalence partitioning and boundary analyse de la valeur to identify potential issues within user interactions. Real-world applications can be seen in web-based applications where functionality and user interfaces require validation across multiple devices and browsers, or in safety-critical systems like medical devices where rigorous testing under diverse scenarios ensures compliance with regulatory standards. By focusing on input-output relationships, this methodology fosters inclusive participation in the testing process and supports the development of user-friendly systems that align well with market needs and user expectations.
Principales étapes de cette méthodologie
- Determine the scope and objectives of testing.
- Identify the functional and non-functional requirements for the system.
- Design test cases based on requirements without knowledge of internal workings.
- Execute test cases by providing appropriate inputs to the system.
- Observe and document the system's outputs against expected results.
- Identify discrepancies between actual and expected outputs.
- Iterate test cases to cover any missed requirements or edge cases.
- Conduct regression testing after any changes to ensure functionality remains intact.
Conseils de pro
- Incorporate diverse test scenarios, including edge cases, to uncover issues that may not be detected through traditional methods.
- Utilize automated testing tools to efficiently manage regression tests and maintain consistency across iterations.
- Engage end-users in the testing process to validate outputs against real-world expectations and requirements.
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