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| Quality Engineering Services |
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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