April 4, 2018
Test automation has strengthened digital transformation projects and provided fresh ones a head start. As digital technologies are growing at a rapid pace, quality assurance teams must utilize mature test automation practices. And this will enable them to overcome time required for manual efforts, provide quick feedbacks and decreases the time to market.
Manual testing as we currently know comes with a stepping process through a specification-based test plan and fetching core values at each step which simply cannot endure the force of the digital speed that’s fast approaching. It’s rather too slow, and it utilizes too many resources that could instead enable innovation.
The influence of digital transformation requires a level of test automation using best test automation tools and strategy that far exceeds the abilities of legacy testing process. Considering the enterprise's demand for pace with their tolerance for risk requires continuous testing, which provides real-time insights into the application’s business prospect.
Continuous testing is being considered as a critical success factor and is also an extensive process than test automation, where in order to optimize performance, organizations gradually focus on mature application development practices and DevOps implementations. Continuous testing has its own importance and with that, test automation is broadened and bolstered by practices such as risk-based test case design and test-driven service virtualization, test data management and seamless integration into the DevOps toolchain.
Drive DevOps and Test Automation Strategy to Accelerate the Digital Transformation
In today’s world, data is considered as a key facilitator for any industry. As, test data management is crucial, it helps to organize the required data sets for building test environment and boost software quality assurance. It is very crucial for testing an application’s performance, functionality, security, and every aspect that is important for assuring the desired customer experience. Test data management thus, is essential for the success of your data strategy as well as overall testing strategy.
Similarly, when we focus on Continuous delivery approach for web and functional test automation where building an effective continuous delivery pipeline creates DevOps culture of collaboration among multiple teams, it involves in software delivery (operations, developers, quality assurance, business analysts, management, etc.) as well as reduces the time, cost and risk of delivering software changes by providing more incremental updates to applications in production.
In general, this means teams deliver software in precise cycles, assuring that the software can be surely released at any time. The only way to encourage this DevOps culture is via Behavior-Driven Development (BDD), an expansion of test-driven development that encourages collaboration between developers, QA and non-technical or business participants on a software project.
In this new phase of Agile and DevOps, test automation helps testing teams to identify and fix issues early in the lifecycle, thereby enabling businesses to add value much faster. A loss of a well-defined digital quality assurance strategy that is linked to test automation can be an obstacle to digital transformation success.
In order to accelerate the business outcomes of digital transformation, drive DevOps in 3 key perspectives which needs to be taken care in early stages:
So, in this era of digitalization, software is the source of deviation, and DevOps is the source to accelerate development and delivery of high-quality software.
Digital driven software development requires products to be propelled immediately and persistently without compromising on quality. The repercussions of failing to choose test automation are obvious – loss of business possibilities owing to longer time to market.
As the most recent test automation research suggests, we must reinvent testing soon and It’s not simply a matter of different tools. The reinvention of testing is a deeper transformation that involves people, process, and technologies.
Evolving intelligent test automation offers the following benefits:
Let’s have a look at some key takeaways of Digital Transformation, DevOps and Software Testing which includes:
We can easily get the vision of how software testing will look in the digital future, how enterprise application architectures and interdependent delivery models are changing, and how software testing must develop to address these techniques. We can get the complete outline of what software testers focus on to effectively navigate the road to success.