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All About Moving from Quality Assurance To Quality Engineering

All About Moving from Quality Assurance To Quality Engineering

Quality Assurance is a way of keeping track of the procedures and techniques used in engineering to ensure quality. The concept of quality assurance was initially borrowed from the manufacturing sector, which mainly operated according to a waterfall-like, highly linear model. Therefore, it was not surprising that early software engineering adopted a similar framework for producing software. A similar pattern could be seen in software quality assurance, which was more concerned with ensuring quality than engineering. This appeared to function correctly for a time.

All of this changed with the introduction of iterative development—more popularly known in our industry as Agile Development. In terms of software development timeframes and delivery, iterative development turned the concept on its head. It challenged teams to adjust to a procedure that favored shorter, more frequent releases rather than longer, fewer ones. This has a significant effect on how testing is carried out.

Traditional QA to QE – What does the transition involve?

Quality engineering (QE), which comprises concurrent development, testing, and bug fixes, can eliminate speed and quality tradeoffs. As non-functional requirement testing occurs so late in the process, it frequently leaves developers with insufficient time to solve performance or security issues. The issue fix/rework cycle can be shortened by a team of developers who are knowledgeable about testing, have the necessary DevOps pipeline, and don’t have to compromise on scope, speed, or quality. However, the accountability and responsibility for quality must be transferred to that delivery team.

Because it’s simpler to train a developer to test for quality than to train manual testers to become developers, agile QE has combined the jobs of development and testing. The intention is to incorporate quality so that the build pipeline runs unit testing, functional testing, and baseline non-functional requirement (NRF) testing against important performance indicators every time you contribute code to obtain quick, precise feedback.

Working with long-standing domain-specialized consulting firms like Maveric Systems helps transit from QA to QE a seamless journey.

3 Ways to Move from QA to QE

  1. Defining an Automation Strategy: A change in approach is needed to get from inconsistent testing to reliable QE. There are many moving variables for a company to consider as the QE trajectory shifts more and more toward automation. People, Processes, and Tools are the three most crucial components.
  2. Getting the automation basics correct. Software Quality Assurance and Test Automation procedures will be more incorporated into the QE as the quality war heats up. Making the best testing options is made easier with the help of testing quadrants and pyramids, which also offer the proper Automated QA framework. By classifying all current tests into testing quadrants and executing them following the testing pyramid, QA test automation will work.
  3. Leveraging Agile Frameworks. Building a solid and unwavering foundation requires the application of Agile concepts and principles to Quality Engineering processes. To make it easier for testing teams to implement engineering best practices, organizations should cooperate with them. When using automation, it’s crucial to keep things straightforward. Simple tests or activities can be identified by paying attention to subtle but essential indications such as test ROI, implementation, manual intervention, and pain points.

Quality Assurance To Quality Engineering

How Quality Engineering Works

Quality engineering employs a strict end-to-end quality control strategy to guarantee product and process quality. The method ensures quality from the beginning of the project and provides real-time test feedback at each phase so that problems may be fixed immediately. As the suggestions from each stage are incorporated into the following steps, a quality engineering strategy provides ongoing quality validation throughout a project. This guarantees effective localization of the problems in the individual components, eliminating flaws in the finished product. All the touchpoints that affect the quality of the project as a whole are connected by quality engineering, including ideation, documentation, architecture, implementation, and user experience.

Conclusion

Thanks to Agile and DevOps, the software delivery industry has developed over time and has almost undergone a revolution. The competition has changed from “Ship your Products Faster” to “Raise the Quality Bar” in every release due to widespread access to tools and technologies. Quality is, therefore, the next major thing. This pushed quality teams to use cutting-edge testing techniques, but more is needed now. Because when something can no longer match the necessities of the time, it is no longer considered modern. Since quality makes a difference, QA teams need help to keep up with the development teams’ pace. So how can organizations maintain their testing lead, especially when quality is on the line? A comprehensive Quality Engineering program should replace outdated methods of sparse and inconsistent Automated testing in Agile and DevOps.

About Maveric Systems

Starting in 2000, Maveric Systems is a niche, domain-led Banking Tech specialist partnering with global banks to solve business challenges through emerging technology. 3000+ tech experts use proven frameworks to empower our customers to navigate a rapidly changing environment, enabling sharper definitions of their goals and measures to achieve them.

Across retail, corporate & wealth management, Maveric accelerates digital transformation through native banking domain expertise, a customer-intimacy-led delivery model, and a vibrant leadership supported by a culture of ownership.

With centers of excellence for Data, Digital, Core Banking, and Quality Engineering, Maveric teams work in 15 countries with regional delivery capabilities in Bangalore, Chennai, Dubai, London, Poland, Riyadh, and Singapore.

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An Introduction to High-Grade Engineering Services

An Introduction to High-Grade Engineering Services

Today technology is continuously tested throughout the course of the development process. From a collection of system development techniques, products and services are tailored to the consumer’s needs. It becomes crucial to understand that quality engineering is a discipline to unite developers and testers. The underlying cultural mindsets must be in place for this to happen over time and adopt quality engineering as a solid organizational practice. Once the teams align on objectives, scope, and project boundaries, the approach to high-grade engineering services permeates cross-sectional and inter-departmental from the top down. In addition, a concrete change management framework is required to guarantee that the cultural change is smooth and holds good across the entire organization.

Gaining the competitive edge through seasoned High-Grade Engineering Services Implementation

Working with seasoned system integrator’s such as Maveric Systems, leading FIs to realize how modern-day business imperatives need comprehensive quality engineering solutions. Tailored for custom needs, the technology partners’ contribution improves release cycles, shortens QA deadlines, and brings a competitive edge to the client company through AI, DevOps, Automation, and other technological breakthroughs.

High-Grade Engineering Services

How are High-Grade Engineering Services the new differentiator for Banking Software Testing?

To support the next-gen banking software and solutions, leading FIs must rely on the best thought leadership to redesign the traditional QA constructs and create blueprints for emerging technologies. The consulting partner aims to bring an engineering mindset to QE on transitioning from QA to QE. The range of high-grade engineering services includes platforms, methodology, and mindset. The journey effectively touches upon multiple practice areas, such as service virtualization, performance engineering, and test data management.

Overall benefits of adopting High-Grade Engineering Services

  1. Drive higher quality standards and quickly go to market.
  2. End to End capability modernization from conceptualization to execution.
  3. Seamless Omnichannel experiences
  4. New revenue streams from performance testing, network testing, and prediction models based on AI & ML.
  5. Boosting output productivity and cost reductions with DevOps.

Conclusion

In the omnichannel world we now inhabit, businesses strive to transform digitally to create high-quality, long-lasting products. The conventional quality assurance paradigm is currently insufficient to accomplish this. To identify and analyze problems in real time, it is necessary to switch from a reactive quality assurance approach to a productive Quality Engineering (QE) approach. Businesses rapidly embrace digital transformation in today’s digital ecosystem to deliver customer-centric and quality-driven solutions. This suggests that businesses require best-in-class user experiences, quicker release cycle times, and cheaper costs. This has new implications for product testing and quality assurance.

About Maveric Systems

Starting in 2000, Maveric Systems is a niche, domain-led Banking Tech specialist partnering with global banks to solve business challenges through emerging technology. 3000+ tech experts use proven frameworks to empower our customers to navigate a rapidly changing environment, enabling sharper definitions of their goals and measures to achieve them.

Across retail, corporate & wealth management, Maveric Systems accelerates digital transformation through native banking domain expertise, a customer-intimacy-led delivery model, and a vibrant leadership supported by a culture of ownership.

With centers of excellence for Data, Digital, Core Banking, and Quality Engineering, Maveric Systems teams work in 15 countries with regional delivery capabilities in Bangalore, Chennai, Dubai, London, Poland, Riyadh, and Singapore.

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What Makes Quality Assurance Fundamental for Banking Frameworks?

What Makes Quality Assurance Fundamental for Banking Frameworks?

Since the advent of smartphones, the banking and financial industries have undergone a dramatic period of the digital revolution. Using mobile technology as a foundation, they’ve created streamlined banking services and perks for their customers. The Omnichannel experience made possible by the latest mobile technologies relies on digital assurance services for mobile apps that provide uninterrupted access to data, satisfied customers, and safe business-to-business transactions. Improved usability and a smoother digital experience for the consumer are at the heart of digital assurance solutions, a practice that a premier banking technology partner like Maveric has been engaging in for two decades.

The need for QA embedded into Banking Frameworks

A Gartner report suggests that technology spending in the banking and securities business will likely increase three-fold in 2023. For the banking sector to keep up with customer expectations, all digital banking applications must remain reliable and operate without a hitch. Banks deal with many transactions and sensitive client data constantly, so a solid digital assurance strategy is necessary around the clock. It’s not uncommon for banking apps to work hand in hand with other software, be it a game, an online store, a way to get around town, a way to order meals, etc. After all, a reliable digital quality assurance system must be in place to guarantee a smooth transaction between the customer and the payment gateway.

Critical Considerations for QA in Banking Test Environments

Improved quality and efficiency through rigorous testing: Delivering services and products that effectively fulfill client demands and preferences requires implementing well-thought-out quality assurance (QA) programs. Reducing post-production flaws is facilitated by well-optimized quality assurance methods and carefully crafted test management programs. By automating tests and using well-established tools, the stability of critically essential systems is undertaken while cutting expenses dramatically.

Overcoming Testing Obstacles: Testing is crucial to ensure financial apps function without hiccups. However, it also presents several difficulties, such as a complex banking application environment that requires regular maintenance and upgrades to keep up with the ever-shifting demands of the market and regulators. QA teams must ensure that everything works across various platforms and browsers, from Internet Explorer on Windows 8 and Surface to Safari on an iPhone 7.

Cost-effectively executing regression testing over an application’s lifecycle: is one of the stiffest testing challenges. In addition to ensuring that system integration is tested, and that test data is used appropriately, QA teams must follow all applicable data confidentiality regulations. An efficient test suite, test environment, and solid test data management are essential for conquering these obstacles. Data integrity can only be protected by information masking, and data identification can be simplified with the help of modern test data management technologies.

Conclusion

Finally, the way to extract maximal value from QA in banking is to focus on Test automation. Test automation is an excellent tool for ensuring the timely delivery of high-quality financial apps and services. Automated functional tests may be run regularly and often, resulting in faster development times and a higher chance of catching errors before they can cause serious problems. Create a long-term testing framework and roadmap, and most crucially, consolidate the management of your testing service providers, tools, and resources, to get the most out of automation.

About Maveric Systems

Starting in 2000, Maveric Systems is a niche, domain-led Banking Tech specialist partnering with global banks to solve business challenges through emerging technology. 3000+ tech experts use proven frameworks to empower our customers to navigate a rapidly changing environment, enabling sharper definitions of their goals and measures to achieve them.

Across retail, corporate & wealth management, Maveric accelerates digital transformation through native banking domain expertise, a customer-intimacy-led delivery model, and a vibrant leadership supported by a culture of ownership.

With centers of excellence for Data, Digital, Core Banking, and Quality Engineering, Maveric teams work in 15 countries with regional delivery capabilities in Bangalore, Chennai, Dubai, London, Poland, Riyadh, and Singapore.

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How is Information Quality Engineering Changing in 2022?

How is Information Quality Engineering Changing in 2022?

As leading FIs reimagine how data quality engineering can be a game-changer, essential insights for innovations surface. Achieving business impact with data is far more than a buzzword. Never before has it been easier to make an impact with data. More and more data are available today, computing power is ever-increasing, and use cases for big data are on the rise. Data is synonymous with digital as it is reflected in how banks collect data, refine it, turn it into insights, and drive digital adoption. 

All of this translates into transformation success and a company’s profitability when CDOs consider the multiple dimensions of Data Quality (DQ) 

  

The multifold QE benefits can be realized by partnering with specialists like Maveric Systems. Leading FIs can accelerate their QE missions to the next level.  

Immediate benefits  

  • Shorter testing cycle times are delivered by intelligent automation.  
  • Continuous testing with shift-left and shift-right Delivery assurance.  
  • Capacity enhancements with improved availability.  

Longer-term value QE realization 

  • Increases automation across the entire value pipeline 
  • Identify investment opportunities that leverage market advantages 
  • Rapid feedback around product reliability and combating business risks 
  • Beyond functional validation, it delivers multi-dimensional test approaches 

Three Data Quality Engineering Trends 

Begin with an information strategy in mind.

Driving alignment of information assets for a robust QE strategy that delivers value only begins when FIs commit to a strategy roadmap, including elaborate information architecture and data governance processes. After all, managing risks and making correct regulatory decisions depend on the business intelligence that comes from investments in risk assessment systems. 

Enhanced Focus on Customer Data Profiling  

Profiling client customer data and adhering to metadata and business rules defined for cleansing and weeding out duplicates go a long way in establishing a meaningful DQ baseline for required fields and preparing for future DQ issues by validating relationships between various DQ tables.   

Growing Relevance of Deep Tech in DQ Engineering

Be it digital transformation, wealth management modernization, financial regulation compliance, or even talent skilling in DQ engineering, the use case of AI, NLP, and ML, among other deep tech applications, is increasing each day. As a new era of scalable, seamless, serverless architectures and infrastructure as a code proliferate in the QE space, successful DQ teams are getting better at understanding how particular platforms will flex to meet future spikes and spotting limitations that may obstruct agility. By using different SMEs that road-test automation frameworks, leading banks are learning how collaboration rhythms (of development, platform engineering, and testing) can run efficiently with fewer errors.  

Conclusion 

Data Quality Engineering in 2022 and the years ahead relies on a solid solution delivery framework (methodology, governance, technology, and domain expertise). From this bedrock of understanding, appropriate toolsets and DQ maturity stages (requirements, assessment, and management) emerge.  

About Maveric Systems 

Starting in 2000, Maveric Systems is a niche, domain-led Banking Tech specialist partnering with global banks to solve business challenges through emerging technology. 3000+ tech experts use proven frameworks to empower our customers to navigate a rapidly changing environment, enabling sharper definitions of their goals and measures to achieve them. 

Across retail, corporate & wealth management, Maveric accelerates digital transformation through native banking domain expertise, a customer-intimacy-led delivery model, and a vibrant leadership supported by a culture of ownership.  

With centers of excellence for Data, Digital, Core Banking, and Quality Engineering, Maveric teams work in 15 countries with regional delivery capabilities in Bangalore, Chennai, Dubai, London, Poland, Riyadh, and Singapore. 

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What role does Quality Engineering Play in your Digital Transformation

What role does Quality Engineering Play in your Digital Transformation

The two main challenges that IT companies have to contend with – continuously upgrading new technologies and creating the best customer experience from their investments. The mandate for FI’s is to produce stable, high-quality apps that provide an authentic and seamless CX as users interact with the digital world. Here, Quality Engineering (QE) helps banks and companies deal with recalcitrant problems. These are more than the usual QA snags that come up, but something that impacts the entire customer value chain.

Another cause of deep concern is the increasing recurrence of cybercrimes and cyberattacks. Users must protect their assets more than ever, which requires enhanced security and compliance testing. Even so, it is often a prudent investment for FIs to build this rigor into their mobile app testing and other digital application processes.

Three reasons how QE influences the Digital Transformation Processes

Improve processes by controlling inputs

As FIs focus on high-quality standards for their processes, they bring attention in the form of QE governance. Over time, research shows that this cuts down the defect rate and reduces the efforts and money needed to carry out the testing. So, for digital transformation interventions to succeed, strict governance wards off deviations and also course corrects for any past missteps.

Data-Driven insights that inform quality improvements

As QE informs the interrelationships of metrics, processes, and end quality across diverse project types, a bank’s IT department can better its operations and products if they follow a robust QE approach. After all, with the wealth of data generated in testing and the superior data analytics tools now available, the logical next step is to draw out the insights – that elevate the product performance, accelerate Go To Market plans, and enhance the customer experience across multiple channels. Unsurprisingly, today, QE methods are used to practice objective, and repeatable measurements, across the many phases of QA, bug fixing, and cost management.

Embracing the adoption of disruptive technologies

Integrating QE into digital transformation initiatives is the crucial lynchpin that helps banks and FIs gain confidence to embrace the next-generation technologies – AI, Big Data Analytics, IoT, etc. As a QE culture proliferates, internal processes can be measured, managed, and integrated to reveal financial and time-based benefits. Additionally, this approach allows for new quality metrics and assessment models that help assess all factors (and variables) that affect digital transformation initiatives. Employees get their learning done in emerging tech, and the organization is better positioned to trace the potential improvement areas and education required.

Conclusion

As digital technologies keep getting better, the wave of adoption will accelerate. All industries, especially IT, depend on Quality Engineering (QE) and testing to ensure that the product quality and user experience meet the stringent expectations of digitally savvy customers. QE and testing used to be tedious and time-consuming. Still, testing is built into the software development process with agile project management approaches and deploying software in a DevOps environment.

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