Web Services and Micro Web Services form the foundation of modern web and mobile applications. Test teams are required to not only test the UI layer of the applications but also the API endpoints that they consume.
BeatBlip enables QA teams to rapidly create and maintain API tests that can be reused as building blocks for end-to-end test scenarios across web UIs, mobile, and more. BeatBlip delivers a simple, codeless solution that doesn’t require complex API programming. Its intuitive interface, built-in API virtualization, and other powerful test automation capabilities simplify API test automation.
BeatBlip’s all-in-one test automation capability extends to Restful APIs as well. It provides an easy to use interface along with an advanced test data management module, to help validate all the endpoints.
- Supports back-end server authorization
- Parsing and validation of response messages (both JSON and XML)
- Ability to validate only JSON response structure when the response data is expected to be dynamic
- Ability to supply dynamic data to the endpoint
- Enables API business flow validation
As an API test automation solution, BeatBlip allows users to test a collection of voluminous APIs to verify their health and process of calling methods/scripts from the web and checking the resultant behavior. BeatBlip allows:
- Status Health Checks
- Security Testing: Denial-of-Service attacks, penetration, spam data, etc.
- Compliance Testing: Data transfer standards and rules
The days of legacy one-box applications are long gone. Today’s distributed software environments use a variety of APIs, from mobile to micro-services. BeatBlip enables QA and development teams to continuously test APIs to ensure that your software functions as it should. BeatBlip makes API testing quick, efficient, and intelligent.
- Data-driven Testing: Validates the robustness of an API via data-driven testing. BeatBlip allows users to invoke the same end point against different types of input data to confirm its behavior.
- JSON/XML Validation: Offers a smart validation process that understands how to compare the response data as well as element and attribute structure against the expected values which may not be exactly same.
- API Mocking and Virtualization: Helps with test driven development. Users can not only utilize BeatBlip to mock the APIs that an application depends upon but can also deliver mock APIs to your customers so that they don’t have to wait for actual APIs to begin their end of the work.
API (Application Programming Interface) is the middle layer between the presentation (UI) and the database layer. APIs enable communication and data exchange from one software system to another. API testing is an important software testing process where APIs are directly tested for their functionality, reliability, performance, security, among other factors. API testing also effectively validates the logic of the build architecture within a quick time.
Software development is fast moving towards API-centric architecture as it not only helps create robust and scalable applications but also opens up new frontiers for revenue generation in the connected world. Enterprises have embraced APIs for supporting rich clients on the front-end and for integrating with multiple internal and/or external systems on the backend. APIs form the backbone of modern Web and Mobile applications.
API testing allows organizations to test their applications faster and get more dependable results than UI-based tests. It can pinpoint bugs in the system quickly within the development timeline. With this testing in place, the user can make requests that are not always available with UI testing. API testing identifies all possible security discrepancies during the early phases.
- Early Testing: Automation in API testing allows teams to build tests to validate the correctness in responses and data once the logic is designed. Testers do not have to wait for other teams to finish their work or for full applications to be built.
- Easier Test Maintenance: UIs constantly change and move around based on how they are accessed – browsers, devices, screen orientation, etc. This creates a nightmarish scenario for testers where they have to constantly rewrite codes to keep up with the actual code in production. API changes in contrast are much more controlled and infrequent. Often API definition files like OpenAPI Spec can make refactoring tests only a few seconds of work.
- Language-independent: Data is exchanged via XML and JSON formats, so any language can be used for test automation. XML and JSON are typically structured data, making the verification fast and stable. There are also built-in libraries to support comparing data using these data formats.
- Quick Resolution Time: When an API test fails, the QA and development teams know exactly where the system broke and where the defect lies. This helps reduce time triaging bugs between builds, integrations, and even different team-members. The small, isolated footprint of an API test is perfect for faster MTTR stats, a valuable KPI for DevOps teams.
- Better Speed and Coverage of Testing: As an example, 300 UI tests may take 30 hours to run, while 300 API tests could be run in 3 minutes. That means you can find more bugs in less time, while also fixing them immediately