Testing Services provides a platform for QA professionals to discuss and gain insights in to the business value delivered by testing, the best practices and processes that drive it and the emergence of new technologies that will shape the future of this profession.

« RPA Performance Testing | Main | QA Paradigms in Open Banking »

Building a Sustainable Test Automation Solution

Test automation is an essential part of QA processes in the software testing industry. Once a mere tool for optimization, supporting manual testing, test automation has now become primary driver in QA. However, successful test automation is much more than just writing a code to de-manualize a step wise process. 

During a digital transformation journey, everything may seem pretty straightforward while using automation frameworks and scripts. In reality, this automation success is short-term. Less than a year into the implementation, many teams soon get pulled into vicious circle of automation maintenance. Issues like flaky test results, change in expected behavior of the system, environment/infrastructure changes, diminish your ROI from a test automation framework. It is thus essential to realize the fact that the success of automation solutioning, especially in software testing landscape, is more about avoiding mistakes than just getting it right!

The need of the hour is to look beyond the surface and come up with a futuristic, self-healing and sustainable test automation solution bedecked with best practices and technology. There isn't a checklist for 'right automation', but in fact 'quick solutions' are certainly expensive, or nearly impossible to maintain. Consider the following tips while embarking on your test automation journey. It may not be a cakewalk but definitely will have long term maintainability.

Picture2.jpg

  1. Simplify
    Testing requirements are as vast as application development. The automation tests are expected to match up the pace of application complexities as features mature. However, flexibility in the system should not be syntactically complex, that might bog down the user. An ideal solution should truly serve the testing goals while at the same time be fluid enough to handle real world testing complexities.
  2. Modularity & Reusability
    Testing approach/type may differ on project basis, depending upon factors like application type and life-cycle process. Automation components must be tailored in a way that they should be non-cohesive to the landscape diversity. These modules could be reused as common automation assets in multiple projects. Such a system thus eases the test maintainability and enhances trace-ability. 
  3. Handle dynamic nature of the application
    Identification of frequent changes and dynamic elements in an application are the two major challenges in the real world of test automation. Most test automation frameworks are unable to identify these dynamics, wherein test planning becomes ineffective and thus may lead to defects. Hence, a provision for identification criterion of application changes, dynamic objects and properties update, is vital for effective test automation.

  1. Centralize Test services wherever possible
    A one-stop solution for dynamic test assets, on-demand test tools and environment, with minimal domain knowledge and solution expertise, Testing As A Service or TAAS is an outsourcing model. 
    It is recommended to offer software testing as a service over cloud, especially in projects where extensive automation and short execution cycles are involved. The components can be used on-the-fly as per subscription using a centralized infrastructure.   
  2. Domain flavored automation
    While testing an application, a tester must think like an end user. Especially in Banking, Financial Services and Insurance (BFSI) and telecom domains, it is essential to know working procedures and domain keywords to write and execute tests better. Similarly, for an automation solution, a distinct edge on domain knowledge is vital to ensure maximum coverage of the functional and non-functional aspects of an application under test.

  1. Building intelligent automation
    Automation is not a one-time solution but a process. A smart automation solution should ideally be self-learning and adaptive. Amalgamation of AI/ML in QA automation helps inducing trace-ability in progression tests and self-healing in regression tests. Alternatively, for lesser sophisticated continuous automation delivery, code-less test automation can be explored. 
To sustain test automation, an appropriate framework with right mix of infrastructure and technology is vital, it is equally essential to streamline testing processes at practice level. Success in test automation requires immaculate planning and design work. Remember, automation in testing is not just a fancy UI to perform test steps, but should be aimed at building a solution that has long term maintainability and traceability. Hence, a sustainable automation solution that would suit the real world testing problems is a must!


Post a comment

(If you haven't left a comment here before, you may need to be approved by the site owner before your comment will appear. Until then, it won't appear on the entry. Thanks for waiting.)

Please key in the two words you see in the box to validate your identity as an authentic user and reduce spam.

Subscribe to this blog's feed

Follow us on

Infosys on Twitter