Thursday, 16 March 2017

7 key benefits a Testing CoE brings for your business


Adherence to Quality is at the centre of an application’s acceptance by its end users. It validates if an application is suited to meet specifications that were laid out at the time of its designing. 
Traditionally, quality testing functions as a distinct phase in the overall Software Development Life Cycle (SDLC) and suffers from inadequacies such as lack of synergy with the development team, lack of automation, dependence on external variables, and a general slackness in following best practices and technologies. 

With the advent of Agile and DevOps methodologies, quality testing has undergone a paradigm shift. The shift involves setting up a centralized Testing Centre of Excellence that oversees conduct of best practices, increased automation and coordination with other business arms, and continuous metrics based evaluation to deliver top notch quality applications in the least possible time. 

Even though the implementation of Quality Assurance (QA) centre of excellence might involve initial costs and changes to the organizational work culture, its benefits can be seen in the near future.
The demand for quality, speed and agility in designing, developing and deployment of applications has been understood by business stakeholders including the most important Quality Assurance team. In its quest to offer better quality products and shorter time to market schedules, the traditional Quality Assurance team has to necessarily transform itself into a Testing Centre of Excellence. 

This gives the team an insight into emerging technologies, best practices, operational inadequacies, cost optimization and faster time to market. CoEs help in increasing the efficiency of the Quality Assurance team a notch or two vis-a-vis its traditional avatar. It comes across as a centralized framework, wherein quality tools, practices, technologies, and processes are shared across different testing arms of an organization. 

Inadequacies of the traditional QA model

  • No proper insight into various processes and systems that develop and run applications
  •       Unable to adapt to fast-paced changes in business priorities, market dynamics, technologies, and end user expectations.

 
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