API stands for Application Programming Interface. It is a set of rules, protocols, and tools that allow different software applications to communicate and interact with each other. APIs define the methods and data formats applications can use to request and exchange information.
API Testing is a type of software testing that focuses on testing APIs directly, examining their functionality, reliability, performance, and security. It involves validating the API's endpoints, requests, responses, data formats, error handling, and more.
SOAP (Simple Object Access Protocol) and REST (Representational State Transfer) are two different approaches for building web services. SOAP is a protocol with strict standards and uses XML for message formatting, while REST is an architectural style that relies on simpler, lightweight standards like JSON, XML, or others.
Advantages of API Testing include faster test execution, broader test coverage, early detection of issues, easier automation, improved security testing, and reduced overall testing efforts.
Web services are a type of API that specifically uses web protocols and technologies for communication between different applications or systems. APIs, on the other hand, can include various interfaces beyond web services, allowing different types of software systems to communicate.
HTTP status codes are standardized responses provided by servers to indicate the outcome of a client's request. They are three-digit numeric codes sent as part of the HTTP header when a request is made to a server.
HTTP status codes are grouped into different categories: 1xx (informational response), 2xx (success), 3xx (redirection), 4xx (client errors), and 5xx (server errors). Each category indicates a specific class of responses.
Common API testing types include functional testing, performance testing, security testing, load testing, interoperability testing, and fuzz testing.
API usage limits refer to restrictions set by API providers on the number of requests, rate limits, access privileges, or data usage for a specific API endpoint within a certain time frame.
An API is a set of rules and protocols allowing different software applications to communicate. An endpoint refers to a specific URL or URI that a client application accesses to interact with the API.
Endpoint validation involves checking the correctness and functionality of the endpoints by sending requests and verifying responses. It includes checking endpoint availability, response times, and returned data.
Validating Search, Filtering, and Sorting Endpoints involves verifying that these functionalities return accurate results based on search queries, filter criteria, and sorting parameters provided in the API requests.
Request method validation ensures that different HTTP methods (e.g., GET, POST, PUT, DELETE) work correctly and perform the intended actions as specified in the API documentation.
Validating Request Headers involves verifying that the headers sent in API requests contain the expected information, such as content types, authentication tokens, or any other required headers.
Validating Request Body involves ensuring that the data or payload sent in API requests matches the expected format, structure, and content defined in the API specification or documentation.
To validate rate limits, simulate requests exceeding the defined rate limit, and verify that the API rejects additional requests as expected. For caching, test by sending requests and checking if the expected cached responses are returned, avoiding unnecessary calls to the server.
For pagination, test by fetching a large dataset and validating if the API returns the correct number of records per page with accurate metadata like page numbers, next/previous links, and total records. Cursors can be tested by ensuring the cursor-based navigation returns the expected data sets.
Some architectural styles for creating Web APIs include RESTful architecture, SOAP (Service-Oriented Architecture Protocol), GraphQL, and RPC (Remote Procedure Call).
Web APIs can be used by developers, third-party applications, or any entities that require access to specific functionalities or data provided by the API.
Common request methods for APIs include GET (retrieve data), POST (create data), PUT (update data), DELETE (remove data), PATCH (partially update data), and OPTIONS (get supported methods).
Advantages of API Testing include faster test execution, broader test coverage, early detection of issues, easier automation, improved security testing, and reduced overall testing efforts.
Common protocols used in API testing include HTTP/HTTPS (RESTful APIs), SOAP (XML-based protocols), and protocols like TCP/IP for some specialized APIs.
The test environment for API testing involves a setup where APIs can be tested independently from the production environment, often using tools like Postman, SoapUI, or custom scripts.
Principles of API test design include understanding API specifications, focusing on key scenarios, prioritizing input validation, designing reusable test cases, handling security aspects, and ensuring test data management.
Common API testing types include functional testing, performance testing, security testing, load testing, interoperability testing, and fuzz testing.
The procedure for API testing involves planning, designing test cases, preparing test data, executing tests, analyzing results, reporting issues, and retesting after fixes.
During API testing, key aspects to check include endpoint functionality, response accuracy, error handling, data format (JSON/XML), security, rate limiting, and performance under different loads.
The best approach for API testing involves understanding requirements, designing test cases covering positive/negative scenarios, automating repetitive tests, validating responses, and continuously improving test coverage.
Tools for API testing include Postman, SoapUI, RestAssured, JMeter, Karate, pytest, Newman, and others, depending on requirements and the type of testing needed.
API testing validates an application's APIs, focusing on functionality, performance, security, and integration, while Unit testing verifies individual units or components of the code for correctness.
API testing |
UNIT testing |
This testing is owned by the Quality Analyst team. |
This testing is owned by the developers working on the corresponding modules. |
This belongs to the category of black box testing. |
This belongs to white box testing. |
Full system functionality is considered in API testing as the API would be used by external developers. |
As the name indicates, this testing verifies whether the unit of code works as expected or not in isolation. |
In this testing, the testers do not have access to the internal source code and it focuses only on the functionality of the API. |
The developers who work on developing unit test cases have access to the source code as they need to ensure the modules developed are passed before delivery. |
Major challenges in API testing include endpoint availability, proper authentication, data format validation, handling rate limits, versioning, maintaining test data, handling dependencies, and dynamic responses.
Testing methods in API testing include functional testing, load testing, security testing, performance testing, fuzz testing, interoperability testing, and validation of request/response data.
Common API errors include 4xx client errors (e.g., 400 Bad Request, 401 Unauthorized, 404 Not Found) and 5xx server errors (e.g., 500 Internal Server Error, 503 Service Unavailable).
API testing commonly identifies bugs related to incorrect responses (e.g., incorrect data format, missing fields), security vulnerabilities, performance bottlenecks, improper error handling, and rate-limiting issues.
API documentation is a comprehensive guide that provides information about available endpoints, request/response formats, parameters, authentication methods, rate limits, error codes, and usage examples of an API.
API changes and deprecations vary widely based on providers. Some APIs have frequent changes due to feature updates or improvements, while others might remain stable for longer periods. Deprecated APIs are often phased out gradually over time.
REST stands for Representational State Transfer, an architectural style that defines a set of principles for designing networked applications. It uses standard HTTP methods (GET, POST, PUT, DELETE) for communication. What is a RESTful Web Service? -A RESTful Web Service is a web service based on REST principles. It exposes resources through standardized URLs and uses HTTP methods to perform CRUD (Create, Read, Update, Delete) operations on these resources.
In REST, a resource is any information or entity that can be accessed via a unique identifier (URL) and manipulated using standard CRUD operations.
The most popular way to represent a resource in REST is by using JSON (JavaScript Object Notation) or XML (eXtensible Markup Language) for data serialization.
RESTful Web services primarily use the HTTP protocol for communication, leveraging its methods (GET, POST, PUT, DELETE) and status codes to interact with resources.
Key characteristics of REST include statelessness, client-server architecture, uniform interface (using URLs), layered system, cacheability, and a stateless communication model.
In REST, messaging refers to the process of exchanging representations of resources between clients and servers using standardized HTTP methods and data formats.
The core components of an HTTP request include the request line (method, URL, protocol/version), request header (metadata), request body (optional for some methods), and sometimes query parameters.
No, according to RESTful principles, GET requests should not be used to create resources. PUT requests are typically used to update or create resources, while POST requests are specifically for creating resources.
Yes, in RESTful services, PUT is used to update or create a resource if it doesn't exist, while POST is specifically used to create new resources.
The OPTIONS method in RESTFUL Web services allows a client to determine which HTTP methods and headers are allowed for a specific resource. It provides information about supported operations for the resource.
URI (Uniform Resource Identifier) is a string of characters that identifies a particular resource. In REST, URIs are used to uniquely identify resources, typically formatted as URLs.
In RESTful Web services, the payload refers to the data transmitted in the HTTP request or response body. It contains the representations of resources exchanged between the client and server.
There is no standardized upper limit defined for the payload size in the POST method. It can vary based on server configurations, network limitations, and API-specific constraints.
Latency refers to the response time or the delay taken by the request to reach the server. We need to ensure that the latency involved in reaching the server is minimum as higher the latency, greater is the impact in the application’s speed and performance.
Automated testing is useful in the long run as it helps to maximize the test coverage of the applications in a shorter period of time meaning it helps to test large test sets very easily and quickly. It enables parallel execution and helps to reduce human-generated errors in testing. It saves the time required to test applications thereby saving the overall cost.
Input injection is the act of simulating inputs for testing APIs. It can be simulated in different ways:
Yes, it is possible. This is because we are sending requests over the internet which mostly follows HTTP protocol. This protocol is text-based and is easier to read. Hence, it is required to perform security testing of the APIs to ensure safer systems.
To test the security of the API during API testing, we need to validate 2 things:
Authentication: Whether the identity of the end-user is correct.
Authorization: Whether the user is allowed to access the resource.
We can also validate whether the TLS or the SSL certificate used over the HTTPS protocol is valid or not.
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