It has survived 100 years since we began giving importance to quality. Noting this achievement, World Quality Day will be proclaimed on November 14th this year. This century has been a spectator to four groundbreaking industrial revolutions as these revolutions facilitated a shift in the quality aspect from quality control to quality assurance to presently, quality engineering. In this article, we will explore digital transformation, QA company,
Over these 100 years, institutions have shifted from a business-driven method to a customer-first technique. The world has developed from being largely physical to digital-only, with nearly everyone beginning on their digital transformation journey. The digital assurance market extent is predicted to increase up to USD 5.47 billion by 2022.
With the absolute purpose of efficiency and cost-effectiveness, the contemporary software quality assurance methods are concentrated on optimizing processes to minimize flaws and eradicate wastage. The expanding technologies are also assisting organizations to improve their software quality techniques as per the changing industry trends. From accomplishing all duties manually a hundred years ago, we are directly looking at a future where each and everything will be automated.
Artificial intelligence is becoming smarter by the day with quick innovations in the area of machine learning. The digital wagon of this new world is driving on the data-integrated fuel.
Our every step is taped, every action traced. Privacy has become a fallacy and a tremendous security concern for all entities, large and tiny, worldwide. We are on a road of continuous advancement, which is being stimulated by quality-driven strategies such as Agile and DevOps. Here in this blog, we attempt to comprehend that with the latest technologies and procedures at their removal, where does the civilization of software quality exist today:
No scope for creating excuses for poor software quality
As Raffi Margaliot, Senior Vice President and General Manager, Application Delivery Management, Micro Focus, said that “When it comes to building and delivering better software faster, you can no longer select between speed, quality, and security if you need to remain competitive”.
The software world has constantly grappled with problems such as chunky processes, missed deadlines, siloed structures, inefficient processes, leaked defects in production, cost overheads, and whatnot. The beginning of Agile and DevOps has been mutinous for the software developing world to handle these challenges. The single key distinction that these methods brought was giving emphasis to the significance of software testing and quality assurance.
Inconsistent with being an afterthought, a costly deficit, software quality assurance has now shaped up to be a crucial part of the software development procedure. Software firms are now realizing what Aristotle said once that “Excellence is a habit. Quality does not happen in a day, it needs to be present at every step of the development process.” With the rising cyber threats, security should also be taken care of along with quality.
The QA purposes of organizational leaders
As per the latest World Quality Report, executive management needs it’s quality assurance and testing strategies to obtain the following objectives:
- Contribute to industry growth and business consequences
- Observe software defects before go-live
- Assure end-user satisfaction
- Boost quality and security awareness among all disciplines
- Execute quality and security checks first in the life cycle
- Preserve the corporate image and branding
- Enhance the quality and security of the software/product
Learning from the costly software failures of history, institutions are making active efforts to assure they do not reiterate their errors. Today, the opinion towards software testing has altered from ‘just another phase of SDLC‘ to ‘a business-critical activity’.
Quality Assurance – an industry driver
The conclusions of the World Quality Report indicated a 23% decline in the IT budgets assigned to quality assurance and testing. But, the justification behind this decline probably is exceptional efficiency and cost-effectiveness. As QA is evolving mainstream, it is happening in the prevention of budget maintenance by eradicating expensive and nonessential steps from SDLCs. The adoption rate for Agile and DevOps is heightening at an exponential rate, with just a handful of companies still following legacy Waterfall techniques.
The forward-looking, customer-facing institutions are striving to establish their operations and company priorities directly for appropriately aligning the firm needs with their consumers. A connected business ecosystem is coming to be the criterion where test automation, Artificial Intelligence, and big data are creating testing smarter. Especially intelligent ecosystems are uncertain to adapt to the evolving desires, self-sustaining in the circumstance of changing test requirements, and skilled in following the accelerated velocity of the IT world.
The availability of many test automation tools is building the desire for a large platform that incorporates various tools combined with their functionalities to shape a holistic test environment and provide business-driven results. Such an outlet will stimulate the prioritization of test cases, therefore, gaining the throughput volume.
Creating a quality mindset
Widespread quality assurance movements, as per the World Quality Report, comprise an increasingly business-driven strategy, an increase in the market for end-to-end testing, and a development of interest in Artificial Intelligence (AI). Huge data is helping fact-based decision-making, cloud computing is generating efficiency, and open-source tools are creating procedures cost-effectively.
With the increased adoption of Agile and DevOps, silos are halting, the alliance between teams is enhancing, and the value of QA is improving. Test automation is stimulating quicker time-to-market and early deficiency detection while security risks are maintaining executives on their toes. A bearable, consumer-focused, business-driven ecosystem is evolving a requirement with end-to-end testing an imperative.
Altogether these technological developments in the prior century establish a similar need for the crucial skill sets, which continues one of the biggest challenges for institutions across geographies and business verticals. SDETs continue to increase prominence and value with AI further somewhat filling the skill voids.
At Appsierra we take pride in creating businesses of the future. We strengthen the Digital Transformation journey of institutions by establishing extensive testing frameworks and technique across the institutions’ digital value chain that includes digital marketing, web content, digital assets, web portals, web analytics, and the all-around digital ecosystem like Cloud, Big Data, Mobility, AI, and smart devices. Come and get connected with us today.