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There is now constant pressure on technologies to adopt and align themselves with the growing requirements of the business environment. Modern-day engineering requires greater scalability, cross-platform abilities, and faster performances.

Therefore the requirement for a software architecture that is flexible and that helps in building systems that are more resilient, more scalable, flexible and can facilitate faster development.

Unlike monolithic services architectures, Micro services architecture helps companies build decoupled and independent processes and services that are easier to use and manage.

The purpose is not to have inter-modular dependencies. Therefore faster releases are facilitated by distributing the application into smaller components that can be composed quickly, and independently.

Testing of banking applications involves the following

  • Concurrency testing.
  • Security testing.
  • Functional features of the application.
  • The overall banking activities and business specifications.

In the highly interconnected world of financial services, the criticality of test automation increases exponentially due to various reasons.

  • The input data related to financial services are highly variable. This makes the volume of test cases is significant.
  • The success of one system is dependent on the success of running other systems. This makes the price of failure very high.
  • Frequent modification and improvement of applications due to the continually changing needs of the client and the regulatory bodies.

Test automation services is done by software quality analysts (QA) who accurately check it through the application screens and try out different usage and input combinations. They compare the results to the expected performance and record their measurements.

But, these manual processes require being repeated often during the software life cycle due to either an unexpected source code change or due to other factors.

Some of the other factors involve various operating environments or hardware configurations that might occur from time to time.

Though the QA groups perform them accurately yet, the delivered software always has bugs. QA engineers always strive to catch them up before the product is released but errors always sneak in, even though the best manual processes are followed.

Process and Methodology

Test Management: Interacting the automation suite with the test management tools support to leverage the UI features which make it simple to understand and report test execution status.

The scope of Automation: It is essential to know the right scenarios for automation testing. Common scenarios that require automation are sales, exchange, and return, promotions, discounts, and price change and price lookup.

Data Parameterization: A robust automation script must be data-driven and created in a way that test data can be provided and manipulated during runtime.

Keyword Driven Framework: Modularization helps to maintain test scripts. Basic functions can be scripted as re-usable functions/keywords which can be invoked by various scripts for different testing scenarios.

Achieving test automation

The Quality Assurance Team requires beginning by modelling the interactions between the systems. This divides large functionalities into smaller ones. This helps to understand the processing connections and the flow of logic and data. The identification of these processing steps helps to form input data for the subsequent steps.

The functions and methods that have been known have to be further broken down into the most fundamental processes and activities. These can also be classified together based on logic. This helps to define the steps in the test process to be automated ensuring the best investment of money, effort and time.

Using a pairwise coverage, the number of different test automation services can be distinguished. If additional cases are needed then they are created manually.

A tool can be utilized to create and store the different processes, parameters in a library which can be reused as and when needed. This tool can have its own execution engine or interface for test case execution.

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