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Key Reasons To Consider Quality Engineering Services.

By Author: Diya Jones
Total Articles: 40

If the changing customer expectations are anything to go by then the way IT solutions are created and tested has undergone a paradigm shift. This is in addition to the business dynamics that has seen mergers and acquisitions, quick product rollouts, and technology changes such as mobility, big data & analytics, IoT, and artificial intelligence among others. The impact of such tectonic shifts – in customer expectations, business dynamics and technological changes - has redefined the role of development and testing teams.

Apparently, the task is cut out for the IT teams – either come out with quality applications in double quick time or just cool your heels and see customers lap up competing products or services. The demand to deploy quick applications for the consumers and provide an elaborate backup have transformed the Quality Assurance process. Currently, the shift has moved away from the traditional Quality Assurance to the new Quality Engineering Solutions.

What is quality engineering?

The integration of IT related processes and workflows across devices, platforms, frameworks, networks, and organizations has meant that quality does not remain a standalone attribute. In fact, quality has embraced multiple dimensions that range across the end to end application lifecycle. With Agile and DevOps models being the new game changers, quality has moved from mere testing of applications post their development into a more comprehensive scheme of things.

Consequently, quality assurance services have given way to quality engineering services. The services encompass the design, development, management, administration and maintenance of IT systems to a high quality standard as mandated by international quality regulations.

Why is digital quality engineering important?

In the Agile and DevOps model of software development, testing and deployment, quality is optimized by making every stakeholder responsible. In other words, if the development and testing teams are entrusted with ensuring the application’s quality, the operations team needs to see the same runs properly throughout its lifecycle, and customer feedbacks are taken seriously. The main thrust of quality engineering services is to prevent the development of glitch ridden applications in the first place. This is in sharp contrast to the traditional QA model where the focus is more on identifying glitches.

The quality engineering strategy involves a robust collaboration between the developers and testers. The testers, on their part, build the testing framework and write the automated scripts at the beginning of the SDLC. The framework is maintained for the whole SDLC and is made an intrinsic part of all future development and test sprints. Digital quality engineering optimizes quality and brings speed in the SDLC. It is not only about executing functional or non-functional testing, but also ensuring that every sinew of the SDLC is validated. It brings about a change amongst the stakeholders, tools, and processes to collaborate and work towards a common goal – of delivering quality products.

Key reasons for considering quality engineering services

Move towards Shift-left testing: The increased use of technologies viz., AI/machine learning, IoT, predictive analysis and the adoption of social, cloud and mobile means a move towards shift-left testing. In the Agile and DevOps model, testing is more aligned with development through common sprints. Moreover, there is a need to create analytics driven QA, API testing, and execute performance engineering while focusing on continuous automation. A robust shift-left testing when integrated in the SDLC leads to better test outcomes.

Rapid deployment: When the demand is geared towards the rapid deployment of quality products, a software quality engineer instead of detecting glitches in successive iterations of a sprint should aim at preventing the glitches from becoming a part of the code. This requires optimizing the processes, tools, technologies and techniques in the SDLC.

Business value: The key to meet customer expectations is by creating an end to end value proposition for the product. This calls for adopting a number of desirable and feasible options to drive innovation. The innovation should enhance the customer experience. QE services help execute continuous automation and virtualization leading to a significant increase in the test coverage area.

Business goals: The main objective of building a quality application is to meet the business goals. This requires the processes to be designed and set up in accordance with the business goals. Thus, a software quality engineer comes handy for he or she is a part of the project management team that decides the processes, tools and techniques to be incorporated in the SDLC.

Conclusion

The requirement of quality products to meet the imperatives of digital transformation initiatives has led to incorporation of quality engineering as an enabler. It is a move towards eliminating quality issues at the beginning of the SDLC leading to customer delight.

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