Challenges Facing QA In The Age Of Digital Transformation & How To Overcome Them?

Quality Assurance & Testing plays a significant role in any digital transformation journey. For a business to ensure success, right tools, methodologies and measures assuring customer experience are a must to be identified properly.

In the current era, companies face two big challenges; first is finding new ways to stay on top of new technologies, and the second to assure superior customer experience.

During the digital transformation journey, organizations have to deal with various market driven aspects like changes in customer behavior, increasing global competition, emerging tech trends like mobile and cloud and embracing of social media. To successfully respond to these challenges, Quality Assurance plays a vital role. Thus, organizations are required to have a proper digital assurance strategy in place being equipped with right tools and methodologies at the same time.

Moreover, to efficiently understand digital transformation impact on QA, organizations must address the following broad directives:

Consistently Provide Great Customer Experience

As predicted by a Gartner report, around 25 billion “things” will be connected to the Internet by the year 2020. Thus, in order to provide high quality customer experience, organizations are required to ensure compatibility across a varied range of devices. As a result, organizations are pushed towards enhancing their QA practices to meet the required result.

Use Agile Methodologies for Reduced Time-to-Market and Accelerated Business Alignment

To stay in sync with the current pace of technological advancements, QA practices need to adopt agile methodologies so that bugs can be detected and fixed proactively and prevented from re-occurring. The agile environment enables various stakeholders with fast prototyping, user story creation, frequent iterations of deliverable, status meetings, etc., thereby reducing the overall software development life cycle drastically.

Address Market Risks to Provide High Value to Business

Gartner predicted that in the absence of right tools to manage digital risks associated with the new technologies, approximately 60 percent of the digital businesses are expected to suffer a major service failure by 2020. The major reasons behind such prediction include increased cyber theft, frauds and data loss linked to digitization. Therefore, organizations are required to mitigate these risks and prepare a proper plan before they face an irreparable damage.

Also Read: Are You Performing QA & Software Testing Processes Rightly? Check these Myths!

To battle these implications effectively, the following five step guide can be extremely helpful.

#1 Prepare a Proper Plan To Predict, Identify and Avoid Defects

Shift your traditional QA mindset from “project-oriented” to “competency-based” so that the entire purpose of quality assurance becomes more inclined towards predicting the code quality using several measuring aspects, rather than just being a quality measuring instrument. QA teams are required to utilize the root-cause analysis algorithm effectively so that they can generate a defect-prevention capability.

#2 Enable Accelerated Application Releases with Continuous Feedback & Improvement

To minimize the costs included in the software development life cycle and speed up time-to-market, there’s an immediate need to automate all “wait” time activities. To successfully achieve this purpose, all those areas must be properly identified that can be automated, including requirement gathering, designing, test automation, regression, etc. The next step is to automate the interfaces to provide continuous integration for developers to code effectively, initiate automatic automation to compile and build applications and enable continuous delivery.

#3 Leverage Competency Centers

To achieve outcome-based models, organizations are shifting their focus to competency centers, which are capable of focusing on domain expertise appropriate to the lines of business, agile methodologies, capability of automating software life cycle and various industry regulations. These centers also take care of the non-functional capabilities, like usability, performance, etc. A transformation of such kind is sure to drive QA professionals to develop skills to effectively handle the comprehensive nature of work.

#4 Focus on ‘Customer Experience Testing’ to achieve ‘Brand Assurance’

Move your test objectives from basic functional scenarios, such as testing on applications, devices or channels, to the real customer experience which will involve the geographical and demographical characteristics of the user including his/her behavior, usage and preferences. Thus, the need is to find a way that can integrate real-world customer feedback to enhance the overall customer experience and promote the brand name with each business application release.

#5 Adopt Effective Application and Life cycle Management Platforms

Using efficient technology platforms for application and life cycle management, organizations are provided an opportunity to reverse-engineer an application’s behavior into layers of well-abstracted architecture, providing quick insights into predicting defects, requirements traceability and requirements for data and infrastructure. It also enables an organization to reduce the wait time and get a 360 degree view of quality with complete quality assurance.

Dovetailing the above, in the present digital environment, QA holds a significant place that goes beyond its traditional role in the software development life cycle. With this transformation in the basic QA role, businesses, too, are required to see it from a whole new perspective to remain consistent in the current pace and provide their end-users much more value than ever.