As opposed to the traditional software development lifecycle
aka waterfall, today’s Agile and DevOps based software development process is
more outcome-oriented. The unrelenting pace of the changing market landscape
has made the hybrid, Agile+DevOps way of software development absolutely
critical in addressing customer demands and staying competitive. The focus on
Agile & DevOps is necessary due to the high failure rates of traditional
software development methodologies. These failure rates are mainly attributed
to the glitch-infested low-quality applications churned out by following legacy
methodologies.
The failure rates had left many companies to bite the dust
and brought the key role played by ‘quality’ in ensuring customer satisfaction
and ROI for the business into sharp focus. Also, the IT landscape is witnessing
developments like mergers and acquisitions, increased focus on risk and compliance,
data and analytics, the fast rollout of apps, and mobile commerce, among
others. These have necessitated the software development process to become
increasingly agile, streamlined, collaborative, and flexible. The reshaping of
customer expectations is letting organizations to go beyond shift-left testing
or DevOps testing by
transforming the QA process into one that is driven by quality engineering.
What is quality engineering?
To meet the growing demand for quality software applications
in double quick time, a mere tweaking of the software development process is
not enough. What is needed is the adoption of software quality engineering process comprising optimal quality
assurance, predictive analytics, and monitoring of QA elements to reduce glitches
to negligible levels. The process would involve a continuous cycle of feedback
and quality improvement based on the same. The quality engineering process
offers maximum test coverage in the shift-left scheme of things and ensures
outcomes like functionality, security, accessibility, usability, performance,
and reliability of the software application. It complements Agile and DevOps
methodologies and ensures their outcomes to remain consistent with the desired
business objectives. Quality engineering, instead of identifying the inherent
glitches in the SDLC, focuses more on preventing them altogether.
Shift left and strengthen right
Quality
engineering services cover the entire spectrum of the SDLC thereby yielding
the maximum test coverage and delivering the best quality product. With DevOps testing shifting left, the
quality determinants are incorporated right into the product build during the
development phase. At the same time, DevOps-based QA focuses on the shift-right
approach to ensure the last stage of the SDLC i.e., delivery goes on unhindered
and customer feedback is taken in right way and worked upon. The ultimate aim
of both shift-left and right is to create and deliver a glitch-free product
that meets the requirements of the end users. Here, since end-users are the
ones who ultimately assess quality of a software product based on parameters
like usability, functionality, and performance, among others, the feedback
mechanism should be responsive enough to understand the issues faced by the
end-users and remedy them at the earliest.
Quality engineering as an aid
Quality engineering (QE) helps to bridge the gap between
development and deployment processes, which can arise due to the lack of
agility. It harps on the successful strategy of ‘test early, test often’, to
pre-empt challenges that businesses face when testing a software product.
Quality engineering ensures the quality of a software application throughout
the SDLC - right from the designing stage to its final delivery. QE can be incorporated
into the development process by using methods such as Behaviour-Driven
Development (BDD), Test-Driven Development (TDD), and Acceptance Test-Driven
Development (ATDD) respectively. Let us find out what these methods are all
about.
Behaviour-Driven Development (BDD): In this
software development method, the behaviour of both the software and business
outcomes are taken into consideration. Here, the right sets of tests are
automated leading to an increased collaboration among developers, testers, and
other business stakeholders.
Test-Driven Development (TDD): In this
software development process, the QA team writes unit level tests before the
development stage. This results in getting an early feedback and helps the
development team to refactor its requisites.
Acceptance Test-Driven Development (ATDD): This
software development process focuses on writing an acceptance test even before
the development phase. This helps the software to meet the acceptance criteria
beforehand.
Quality engineering and DevOps
QE, being an end-to-end testing methodology, can offer
optimum solutions to businesses struggling with their legacy IT infrastructure.
The solutions in terms of continuous testing and integration as mandated by
DevOps, can be arrived at by integrating the QA process with the DevOps pipeline. This
results in executing processes like build, test, deploy, and deliver in a
seamless manner. QE complements DevOps and Agile by detecting glitches right at
the beginning of the development process. Moreover, QE’s focus on end-to-end
testing helps the product to be developed and tested simultaneously. This
approach adds teeth to the DevOps’s requirement for CI (Continuous Integration)
and CD (Continuous Delivery). No wonder, the successful implementation of
quality engineering is underpinned on fulfilling the requirements of DevOps and
Agile. It further consolidates the benefits achieved from implementing DevOps testing services and Agile testing services.
QE riding on DevOps and Agile can help businesses to scale
up their operations without investing much resources and time. By implementing DevOps test automation and Agile test automation using test
automation software like Selenium, Robitium etc., businesses can boost their
SDLC. QE can help businesses to develop and deploy glitch-free software
speedily and deliver enhanced customer experience.
Conclusion
The fast-changing competitive business landscape of today
requires organizations to streamline their operations, increase productivity,
and fast forward the delivery of glitch-free software applications. To achieve
these objectives, they need to make quality engineering as part of their
development and testing cycles. However, QE ends up complementing the Agile and
DevOps approach by achieving outcomes such as Continuous Delivery and
Continuous Integration. Furthermore, it leads businesses to get high ROI, better
productivity, reduced cost of operations, and enhanced customer experience.
Author Bio
Oliver has
been associated with Cigniti Technologies
Ltd as an Associate Manager - Content Marketing, with over 10 years of industry
experience as a Content Writer in Software Testing & Quality Assurance
industry. Cigniti is a Global Leader in Independent Quality Engineering &
Software Testing Services with CMMI-SVC v1.3, Maturity Level 5.
This article is already published in devops.com

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