Schema Validation is something that is the first thing that comes to mind when it comes to the structural validation of your API’s responses. There are multiple ways of validating your API’s response and one of them is the schema validation.
Your API Response can be as complex or large as it can be, but the problems that it creates in Response Validation is hard to deal with. So, what is the solution to such a problem? It’s Automation, Right?
There are many tools out there which offer Scriptless Test Automation, and I am pretty sure that they offer some great features and functionalities that one can benefit from. The only issue is that the lack of simplicity in the tool, itself, makes the usage so tiresome, that it will almost equal the efforts that are required in scripted test automation.
One of the biggest concerns in the industry of Software Testing will always be the concern of Investment that the Companies provide for Testing their Software services. Thus, it leaves us with only options to either reduce our resources or, better, optimize our efforts. Well, Data Driven Testing is one such thing, that can not only optimize your Testing efforts but also can give better results with minimal efforts.
Let’s take a deep dive into this subject..
Swagger (now known as OpenAPI) is a well-known framework for describing the API specifications. Swagger removes ambiguity among multiple teams (e.g. frontend team, backend team, testing team) by having the proper API specification. And development and testing teams can work in parallel by referring the same spec.
Today in this post, we will look at how the swagger spec also helps us in making the automated API validation process easier. We have developed a tool named as vREST NG for validating the REST APIs and it also imports the swagger specification and makes the validation process against the imported schema much easier. Continue reading Easily validate your REST APIs by using the swagger definitions
Adoption of REST APIs has increased manifold in recent days and REST has become a leading standard for building web APIs. The era of pure desktop-based applications is continuously going down. People are shifting from NG to web and further mobile-based applications.
Most of the web-based applications or mobile applications are backed by REST APIs. Testing this type of applications has become a major challenge. Various tools/frameworks/libraries (utilities) are there to automate the testing activity. People choose these utilities depending upon their context, environment, budget and skill level, etc.
In this post, we will discuss the need for automation followed by various challenges behind REST API Automation Testing. I will appreciate questions/feedback if you have any ☺
There are several API Testing tools/software out there, which offer Version Control of Test Data, but the only problem with them is that their system of Version Control is not implemented in an understandable way. Their Version Control is very much restricted to the User Experience of their own tool.
Version control of test data also plays a great role in the same manner as you can’t live without source code version control. You should definitely think of this dimension while choosing the test automation tool. Otherwise, you will face various issues once you have adopted the tool in the later run. The following issues are centered around version control:
- Test data Auditing (Who changed what data at what time)
- Review process
- Minimizing merge conflicts
- Team collaboration or sharing issues
- Backup and restore test data
In the API Testing world, if an automated testing tool doesn’t provide reusability then you will pay a great cost while maintaining the test suites over a period of time. Reusability and maintainability are two sides of the same coin. If reusability decreases then maintainability also decreases and vice versa. If you are having a small number of APIs/test cases then reusability might not be a concern for you, but if your whole architecture is based around APIs then reusability plays a great role while creating the automated test suites for those APIs. And it is very important to think about this dimension while choosing the API automation framework/tool. We should follow the DRY (Do not repeat yourself) principle.