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Which Automation Framework Should You Use?

If you are thinking of using an automation testing for your app testing, then you require a robust and reliable automation framework for positive outcomes. However, if it’s your first time to perform automation test, then have a clear understanding of the testing framework.

Automation framework is a complete set of guidelines and rules such as object repository treatment, coding standards, data handling, etc. to make your automation testing effective. Following these guidelines, the testing team will be able to attain more resourceful outcomes like reduced script maintenance cost, higher portability, increased code re-usage, and more. Also, the combination of test tools and practices help them execute automated testing more precisely.

Benefits of Automation Framework

  • Reusability of test cases and codes
  • Maximum coverage
  • Recovery scenario
  • Low maintenance requirements
  • Minimal manual involvement
  • Easy of reporting and scripting your test cases
  • Scalability for testing scenarios
  • Flexibility and process definition

Testing Automation Frameworks – Choose your best fit

There are several automation frameworks available to choose from different testing scenarios. But it’s essential to choose the one that suits best for your business needs. In this post, we have listed down a few of the best automation framework. Read on and choose your best fit.

  1. Modular Driven Framework

The modular driven framework is based on the popular concept of OOPs – data abstraction. The key idea of using this automation framework is to build an abstraction layer so that any changes in the individual section will not affect the first module.

The testers must divide the application into different modules and test each module separately to implement a modular-based framework. After splitting the application into individual modules, they will create a test script for each part and combine those to build larger tests scripts to achieve desired results

Pros:

  • If you make changes to one of the applications, it won’t change the entire module.
  • Introduces higher-level modularization, which results in smooth and cost-effective maintenance.
  • Flexible framework letting you execute changes only on the affected test scripts.

Cons:

  • Data is hardcoded into the test script, so you can’t use it for multiple data sets
  • For setting-up this framework, you need efficiency in programming languages.

 

  1. Library Architecture Framework

This framework is fundamentally based on the modular driven framework but comes with some enhancements. The library architecture framework splits the application into the function, instead of multiple modules. It helps other parts of the app use the functions. The segregated functions are later accumulated in one place and can be used by test scripts when needed.

Pros:

  • The higher-level of modularization leads to more comfortable and cheaper maintenance
  • Scalable framework and cost-effective maintenance of test cases
  • You can reuse test cases with the library approach

Cons:

  • You require a high level of technical expertise to set up the framework
  • Test scripts development is a time-consuming process
  • If you want to make changes in test data, you may need to implement changes in test scripts, as well.

 

  1. Linear Automation Framework

Also known as the record-and-playback framework, Linear Automation is a basic level framework. In this framework, testers execute test scripts individually for each test case. The testers can manually record each step in the testing process and play the script to conduct the test consecutively from the beginning. Selenium IDE is the best example of this type of framework.

Pros:

  • You don’t require automation expertise
  • An easy to understand the workflow for anyone involved in the test process
  • You can generate test scripts without any tight schedule

Cons:

  • Due to hard coding and the lack of reusability, you can’t run it with multiple sets
  • Managing tests in large quantity aren’t possible
  • You require to work a lot to make any changes in the application

 

  1. Data-Driven Testing Framework

A data-driven test framework splits the test data from script logic. It means that testers can store data externally. Most of the time, testers may need to test the same function or feature of application multiple times with distinct sets of data. In these cases, the test data in the script mustn’t be hardcoded, alike Linear or Modular-based framework.

Pros:

  • Reduces coding time and number of scripts for all test scenarios
  • The framework is flexible and easy to maintain
  • You can execute test cases with multiple data sets
  • Any updates in the scripts won’t affect test data

Cons:

  • You can’t perform functionality testing simultaneously in real-time
  • You need to create test data sources in this framework
  • It takes a longer set-up time and requires higher technical knowledge of used programming languages

 

  1. Keyword Driven Testing Framework

This framework is an extension of the data-driven framework. It separates the test data from the scripts and keeps the used code in the test script in external files. The keyword-driven framework uses a table format to define the keywords for every method that you execute. Once you set up the table, you must write the code to trigger the required action based on the keywords.

Pros:

  • This framework doesn’t require thorough scripting knowledge because you can use a single keyword for various scripts
  • The keywords and test scripts do not depend on any automation tool used
  • The framework offers a high amount of code usability

Cons:

  • The initial cost of setting up this framework is high
  • Maintenance and slowing down the development of new sets is difficult
  • You require excellent test automation skills

 

  1. Hybrid Testing Framework

As the name suggests, this framework is the blend of more than one framework. This combination allows you to leverage the benefits of all the automation frameworks we mentioned above.

Pros:

  • The framework is customizable according to your requirements
  • It allows you to select the competencies of each framework as you require

Cons:

If the testing team is in a proper collaboration, this framework offers no such drawbacks. Although, configuring a hybrid testing framework with the required frameworks can be a bit complicated.

 

How to Choose your Best fit Automation Framework

A well-designed automation framework helps in maintaining the code in light of common changes like Test data, Page Objects, Reporting structure, etc. But, before you finalize any of the automation frameworks, you must keep some crucial aspect in mind:

  • Type of your application and technology used to build it
  • The way your app was built and its UX
  • Testing requirements of your application
  • The workflow of your application
  • The cost of the framework and availability of trial version
  • Skills and expertise needed to use the automation framework

 

To choose the testing framework accurately, you can compare all the automation frameworks according to your requirements. Provide scores based on the scalability, functionality, pros, and cons. This process will help you decide the best fit for your needs.

 

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