Why is Collaboration Important for Agile Testing?
Seamless collaboration between the development and testing team demolishes silos and promotes agile testing.
Fremont, CA: Today, ensuring the seamless performance of software applications across a plethora of devices, hardware configurations, operating systems, browsers and networks using a traditional waterfall model of QA testing is impossible owing to many variables and dependencies involved. Agile overcomes this by being responsive to changes whether they are technology-related or depending on customer needs. Agile allows teams to design the right product that can cater to the needs of the customers at a faster pace. However, shifting to the agile approach is not easy and has several challenges.
Shift in mindsets
Before adopting the agile route for testing, the benefits and its importance should be clearly explained to everyone in the organization. This is because any resistance to this practice can delay the delivery of software.
Lack of clarity in role
In a traditional waterfall model, there is no room for confusion as every QA specialist knows their specific function. On the other hand, with agile, necessary development tasks are executed optimally where no role is distinct, and everyone should help wherever needed. This uncertainty can breed resistance while derailing delivery.
Lack of coordination across teams
In spite of the challenges, some effective practices help to achieve a successful transition to agile testing.
The rising need to validate software on omnichannel platforms and test quickly forces agile testing specialists to utilize test automation to conduct repetitive tests like regression.
Continuous testing and feedback
An agile software development lifecycle (SDLC) requires a constant testing and quality assurance process, parallel to development. Also, for the end product to meet all the requirements, it needs a friction-free collaboration between developers and testers.
Service virtualization is essential in any dynamic test environment where there is a need to test software and APIs on various parameters across locations. It virtualizes and simulates test variables and software for defects by eliminating the need to use the entire application.
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