#quality engineering solutions

In today’s competitive digital landscape, software quality is no longer a secondary concern—it is a core business requirement. Organizations are under constant pressure to deliver faster releases, seamless user experiences, and highly secure applications. This shift has led to the growing importance of quality engineering services, which go beyond traditional testing to ensure quality is embedded throughout the entire development lifecycle.

Quality engineering represents a transformation from reactive quality assurance practices to a proactive and continuous approach. Instead of identifying defects at the end of development, quality engineering focuses on preventing them from occurring in the first place. This approach is particularly valuable in agile and DevOps environments, where rapid releases demand consistent quality at every stage.

Understanding Quality Engineering Services

Quality engineering services involve a comprehensive framework that integrates testing, automation, performance monitoring, and continuous improvement across the software lifecycle. Unlike traditional QA, which often operates as a separate phase, quality engineering is deeply integrated into development processes.

This approach ensures that every stage from requirements gathering to deployment and beyond—is aligned with quality standards. Organizations adopting quality engineering practices can significantly reduce defects, improve system performance, and enhance overall user satisfaction.

Companies like Hexaview Technologies are at the forefront of delivering advanced quality engineering services, helping businesses transition from legacy testing models to modern, automation-driven frameworks. Their focus is on creating systems where quality is engineered, not inspected.

The Evolution from QA to Quality Engineering

The evolution from quality assurance to quality engineering reflects the changing nature of software development. Traditional QA relied heavily on manual testing and late-stage validation, which often resulted in delayed releases and increased costs.

Quality engineering, on the other hand, adopts a shift-left approach. This means testing begins early in the development cycle, allowing teams to identify and resolve issues before they escalate. This not only improves efficiency but also reduces the cost of fixing defects.

With the integration of automation and artificial intelligence, quality engineering has become more intelligent and scalable. It enables teams to execute continuous testing, monitor real-time performance, and ensure consistent quality across multiple environments.

What Defines Quality Engineering Solutions

Quality engineering solutions encompass a wide range of practices and technologies designed to ensure software reliability and performance. These solutions are tailored to meet the specific needs of modern enterprises, which often operate in complex and dynamic environments.

At the core of these solutions is automation, which allows organizations to execute repetitive tasks efficiently and accurately. Automation also supports continuous integration and continuous delivery pipelines, ensuring that every code change is validated in real time.

Performance engineering is another critical aspect of quality engineering solutions. It ensures that applications can handle high loads, respond quickly, and scale effectively as user demand grows. Security testing is equally important, as it helps identify vulnerabilities and protect sensitive data.

Hexaview Technologies offers comprehensive quality engineering solutions that integrate these elements into a unified framework. Their approach ensures that businesses can deliver high-quality applications without compromising speed or efficiency.

The Role of a Quality Engineering Consulting Company

A quality engineering consulting company plays a crucial role in helping organizations design and implement effective quality strategies. These companies bring expertise, tools, and frameworks that enable businesses to modernize their quality processes.

Consulting services typically begin with an assessment of existing systems and processes. This helps identify gaps and opportunities for improvement. Based on this analysis, a customized quality engineering strategy is developed, aligning with the organization’s goals and technical requirements.

The consulting process also involves selecting the right tools, building automation frameworks, and integrating quality practices into DevOps pipelines. Continuous monitoring and optimization ensure that the system evolves with changing business needs.

Hexaview Technologies, as a leading quality engineering consulting company, provides end-to-end services that help organizations achieve operational excellence. Their expertise spans multiple industries, enabling them to deliver tailored solutions that address specific challenges.

Benefits of Adopting Quality Engineering

Adopting quality engineering brings significant advantages to organizations looking to improve their software delivery processes. One of the most notable benefits is faster time-to-market. By automating testing and integrating it into development workflows, teams can release updates more frequently without compromising quality.

Another key benefit is improved reliability. Applications developed using quality engineering practices are less prone to failures, resulting in better user experiences and increased customer satisfaction. This reliability also contributes to stronger brand reputation and customer trust.

Cost efficiency is another important advantage. Identifying and fixing defects early in the development cycle reduces the need for expensive rework later. This leads to more efficient use of resources and better return on investment.

Security is also enhanced through proactive testing and continuous monitoring. Quality engineering ensures that vulnerabilities are identified and addressed before they can be exploited, protecting both the organization and its users.

Challenges in Implementing Quality Engineering

Despite its advantages, implementing quality engineering can be challenging for many organizations. One of the primary challenges is the complexity of tools and technologies involved. Selecting and integrating the right tools requires expertise and careful planning.

Another challenge is the need for skilled professionals who understand automation, DevOps, and modern testing practices. Organizations often face skill gaps that can slow down the adoption of quality engineering.

Cultural change is also a significant factor. Moving from a traditional QA mindset to a quality engineering approach requires a shift in how teams think about quality. It involves collaboration across development, testing, and operations teams.

Initial investment can also be a concern, as setting up automation frameworks and infrastructure requires resources. However, the long-term benefits of improved efficiency and reduced costs often outweigh these initial expenses.

The Future of Quality Engineering

The future of quality engineering is driven by advancements in technology and the increasing demand for faster, more reliable software delivery. Artificial intelligence and machine learning are playing a key role in this transformation, enabling predictive analytics and intelligent test automation.

Autonomous testing is emerging as a major trend, where systems can automatically generate, execute, and maintain test cases with minimal human intervention. This reduces manual effort and improves accuracy.

Cloud-based testing environments are also gaining popularity, providing scalable and flexible infrastructure for testing. These environments allow organizations to simulate real-world conditions and ensure consistent performance across different scenarios.

Another important trend is the concept of quality as code, where quality checks are embedded directly into development pipelines. This ensures that every code change meets predefined standards before it is deployed.

Hexaview Technologies continues to innovate in this space, leveraging advanced technologies to deliver next-generation quality engineering solutions. Their focus on continuous improvement and innovation ensures that clients stay ahead in an ever-evolving digital landscape.

Conclusion

Quality engineering has become an essential component of modern software development. By shifting from reactive testing to proactive quality management, organizations can achieve faster releases, higher reliability, and better user experiences.

Quality Engineering solutions help to detect as well as prevent glitches in your software application. Get in touch with our quality engineering consultants for quick and simple solutions to your business transformation challenges. Our testing services are QA services, Automation testing services, Quality engineering solutions, Manual testing, Automation testing etc.

Accelerating Quality Engineering for today's banking

To succeed in the competitive digital landscape, enterprises need to achieve high quality and agility. To meet these objectives, they need to simplify, secure, and modernize their legacy systems. Also, businesses need to have the requisite adaptability and flexibility in choosing the right QA tools. Ensuring the quality of products and services at every step of the way is critical in addressing the ever-changing customer expectations. If that is not enough then the changing market dynamics - mergers and acquisitions, new software rollouts, adherence to risk and compliance norms, data and analytics, mobile commerce, and the incorporation of IoT - have necessitated enterprises to be agile and enhance their quality assurance services.

With cybersecurity scare hovering around, enterprises need to up the ante to make their workflows, products, or services fully quality-compliant. This involves adhering to global quality standards like PCI, Sox, GDPR, etc. Adhering to these standards consistently would be an uphill task for enterprises if they employ traditional QA methodologies. With Agile and DevOps emerging as the preferred methodologies for software development, quality engineering is the way ahead.

What is quality engineering?

It is a process wherein quality of a software is tested and validated throughout the Software Development Life Cycle (SDLC.) It encompasses activities such as analyzing a product’s design and development process to improve the quality of products and services and reduce waste.

QE services differ from traditional waterfall model where QA is an adjunct to the development process. Quality engineering solutions help to prevent as well as detect glitches in a software application. These optimize quality throughout the SDLC and beyond by involving everyone in the organization.

Key benefits offered by software quality engineering services

The competitive online landscape requires enterprises to rapidly deliver quality products and services to the market. This calls for implementing quality engineering solutions in the agile led SDLC. The key benefits are as follows:

# Implementing AI: Quality engineering can involve Artificial Intelligence to accelerate and enhance their QA practices. AI can help in identifying glitches in the software applications based on analyzing historical data. It can help developers to focus on the specific areas of software development and prevent glitches from setting in.

# Strengthening right and improving shift-left testing: The business priorities of today dictate quick launch of software products across social, mobile commerce, and cloud landscape. With Agile and DevOps forming the crux of any software development process and CI and CD being the expected outcomes, any SW quality engineer should do the following -

·         Strengthen the delivery of high-quality products

·         Enhance the feedback response mechanism.

·         Make the sprint involving developers and QA experts seamless and responsive.

# Improved agility: Enterprises need to implement Agile and DevOps methodologies to streamline their workflows, improve efficiencies, reduce costs, deliver quality products and services, and achieve ROI. An SW quality engineer can help enterprises in implementing industry best practices and facilitating the adoption of Agile processes.

# Better monitoring: With the expectations of customers rising by the day, the success of any software application would depend on key parameters such as performance, accessibility, functionality, and security. However, these need strict monitoring of the development and QA processes. This is where a robust quality engineering strategy can ensure effective quality control and management by leveraging technology, measurable tools, and well-established industry standards.

# Prevention is better than cure: Digital quality engineering involves drawing and implementing strategies to prevent glitches from sneaking into the SDLC. It aims at the long-term perspective of preventing glitches rather than getting into the fire-fighting mode every time glitches are detected. By doing so, it helps enterprises to speed up the software development and delivery process and reduce cost.

# Implementing quality across the SDLC and beyond: With shorter delivery cycles and faster turnaround time expected of enterprises to deal with the changing market dynamics, the operational workflow needs to be strengthened and streamlined. QE services help enterprises in monitoring and executing a slew of activities - the adoption of new technology tools or automating the testing process. The software quality engineering services monitor the quality metrics and ensure they are met across processes in the SDLC.

Conclusion

Businesses need to become agile and quality compliant to meet the changing market dynamics and rising customer expectations. To achieve these objectives, the entire SDLC should be designed to uphold quality at every level by engaging quality engineering services.

This article is originally published at DEV Community, The importance of Quality Engineering in a software factory

The quality of software applications has assumed utmost significance, given the changing user dynamics and the intensely competitive online market for such products. Business enterprises are literally burning the midnight oil to streamline their value chain by embracing digital transformation. This way, they hope to improve the software quality and do away with the procedural bottlenecks that have stymied outcomes like productivity, efficiency, and customer satisfaction. Revamping the SDLC has become the need of the hour given the advent of Agile and DevOps paradigms. What better way to achieve the same than by incorporating software quality engineering in the development, testing, and delivery cycle.

The focus is squarely on shift-left testing to ensure complex software codes are tested during the development stage only. This entails frequent testing of a software application and in the process, ensuring early detection of any hidden glitches. Software quality becomes the first casualty is due to the presence of glitches, which often go undetected in the traditional development and testing process. Software engineering focuses on mitigating glitches in the first place rather than going through the motions of identification and elimination later. It mostly employs test automation to validate the APIs and UI. The engineering of software quality consists of a few essential steps. These steps can ensure the early detection of bugs and pre-empt the following of rather expensive, time-consuming and iterative testing cycle later.

Steps to usher in digital quality engineering

The series of steps to be taken by the software quality assurance engineers to improve the quality of software is as follows:

Functional testing: In this type of black-box testing, the focus is on validating the specifications of software components. The process tests every button, link, and function on the screen wherein the output is analysed against the input without considering the internal architecture. This is mainly a simulated process that mimics the real test conditions and checks the user requirements.

Reviewing the source code: This should be done before the actual testing process. Akin to peer review, the process requires looking at the source code by a different set of developers. This can bring a lot of coding errors or glitches out in the open as a different set of eyes can get the perspective right instead of getting weighed down by the codes.

Usability testing: This is a comprehensive testing process involving the validation of functionality as well as user experience of the software. This differs from user acceptance testing and can be done by engaging either internal or external testers. The external testers should, however, fit into the profile of the actual end users. Usability testing as a part of the quality engineering strategy encompasses steps such as developing a strategy to validate the functions of the software application, identifying the testers, creating test cases, selecting the test automation tool, executing the tests followed by analyzing their results.

Testing the user interface/APIs: A software application comprises several APIs to interact with myriad touchpoints in the digital ecosystem. These touchpoints may include devices, operating systems, browsers etc. The interface testing would test the interactions/communication between the web server and various APIs to ensure they function seamlessly. Moreover, the testing process should ensure any interruption by the user is addressed effectively, both by the web server and APIs.

Unit testing: In this type of testing, methods, classes or components are treated as units and checked across a slew of inputs – valid, as well as, invalid. The test should create an overarching environment where any change in the source code database triggers the execution of unit tests. The tests can involve the use of virtualized inputs to mimic real time scenarios.

Compatibility testing: Today’s software applications interact with a lot of digital touchpoints including browsers (and its versions), operating systems, and devices. The test validates the features and functionalities of the application across browsers by checking JavaScript, authentication requests, web sockets etc. In addition to browsers, the application should be tested for its smooth functioning across operating systems like MacOS, Windows, Linux etc and mobile operating systems like Android, iOS and Windows OS respectively.

Conclusion

In addition to the above-mentioned tests, the QE services should execute load and stress testing as part of the overall performance testing process. This ensures the software works seamlessly for various scenarios and hardware configurations. Thereafter comes security testing to identify and eliminate the inherent system vulnerabilities. Should these tests be deployed and taken to their logical conclusion, the quality of software can be enhanced significantly.

The quality of a product or service plays the all-important role in differentiating a successful enterprise from an also-ran one. In the highly competitive digital era, the choice for enterprises to stay relevant, competitive, and customer centric is clear – offer superior quality products (and services) at equally high speed. The days of legacy systems and old paradigms seem to be numbered, for now, the thrust is towards incorporating new technologies and reimagining the business architecture to deliver the best customer experience. However, ensuring quality across the digital ecosystem comprising a multitude of device platforms, frameworks, operating systems, browsers, and networks, can be challenging.

The rapidly changing user preferences and the need to keep with the latest technology trends can overwhelm any enterprise worth its salt. Also, a significant section of the industry has adopted Agile and DevOps methodologies to achieve the above-mentioned objectives. The challenge, therefore, is to incorporate shift-left testing in the SDLC underpinned by test automation to achieve objectives such as – maximizing the test coverage area and offering Continuous Integration and Delivery solutions. Since the traditional model of quality assurance is found to be wanting in meeting these objectives, especially in the Agile-DevOps driven ecosystem, the need to adopt software quality engineering becomes inevitable.

What is quality engineering?

The digital transformation initiatives undertaken by enterprises to be with the times encompass simplification, modernization, and securing of the legacy systems and aligning them with the cutting-edge technologies of today. In this endeavour, quality needs to have a 360-degree approach that straddles the end-to-end spectrum of the SDLC. This is where enterprises need to employ independent quality engineering services driven by intelligent and automated processes. Thus, the process of quality engineering (QE) ensures the quality of software application is validated, enhanced, and analyzed throughout the SDLC.

It vastly differs with the traditional waterfall model where QA takes place in a silo at the end of the software development process. Moreover, QE rises above the shift-left QA process as well by performing both functions – detecting and preventing the occurrence of glitches. In other words, quality engineering is comprehensive, descriptive, effective, and vastly superior to the existing QA practices.

Importance of software quality engineering in the Agile-DevOps driven world

In the Agile and DevOps models of development and testing, quality is optimized throughout the SDLC. Here, every stakeholder is made accountable to ensure the quality of the software application, which in practice, can suffer from infirmities. To put this conundrum in simple terms – since it is everyone’s responsibility to drive quality through rigour and discipline, no one seems to take ownership. In the absence of a disciplined mechanism to monitor quality, the exercise to shift towards Agile or DevOps becomes meaningless. Thus, even though the product may come out of the development cycle fast enough, its overall quality may leave much to be desired. Let us understand how enterprise quality engineering can help remedy the situation.

With QE, there is greater collaboration between developers and testers with the latter tasked with setting up the basic testing architecture to be relied upon for future testing exercises. QE can give a software quality engineer the requisite flexibility and wherewithal to increase the speed of testing by a long margin. This is done by incorporating test automation at the core of QE. It helps in not only executing both functional and non-functional testing but validating (and integrating) each layer of the application. Since the bulk of testing is executed through test automation, QE offers manual testers the much-needed flexibility to be innovative and exploratory. Moreover, on the lines of DevOps, QE engenders changes in processes, tools, and people’s approach (and skills). In addition to Agile and DevOps testing, the services offered by a quality engineering company would include test automation, service virtualization, security testing, performance testing, monitoring and analysis, and test data management.

Conclusion

In a day and age dominated by changing market dynamics reflected in mergers and acquisitions, emerging security challenges and the consequent emphasis on risk and compliance, data analytics, mobile commerce and others, customers as well as business stakeholders are increasingly relying on IT. To deliver the best customer experience across the value chain, testers are moving beyond shift-left testing. Software quality engineering helps enterprises to strengthen decision making, improve the delivery of quality services, and deliver business value to the end customers.

The proliferation of digital applications owing to various digital transformation initiatives taken by enterprises has necessitated the adoption of intelligent automated testing. The changing nature of businesses, market dynamics, and the adoption of new technology platforms have led to the shrinking of delivery schedules – from months to weeks and days. Consequently, the testing timelines have caught up with the change in shifts to the left and right. Companies, to remain agile and offer the best customer experience, have adopted the development and testing methodology of DevOps. This entails the testing of code in the initial stages of the development process and establishing a robust feedback mechanism to act upon customer issues.

As the traditional mode of testing takes a backseat with the adoption of Agile and DevOps, the focus is more towards preventing, detecting, and eliminating glitches. The advent of new technologies such as IoT, AI, Augmented and Virtual Reality, AMP etc., generates humongous amount of data, which if not validated, can result in these technologies to play truant. Today, the quality of an application is not just about ensuring the smooth functioning of a software application but rather offering a differentiated user experience. This is because customers have high expectations about a product, which if not addressed to everyone’s satisfaction, can let a software product to go out of reckoning. This brings quality engineering into sharp focus as routine shift-left testing can suffer from inadequacies such as lack of scope, inability to predict risk, etc.

Why should Quality Engineering solutions be preferred?

As new technologies evolve and are adopted by enterprises, the complexity of software applications has increased exponentially. This calls for a continuous monitoring of applications across the SDLC and beyond.

Digital Quality Engineering can adapt to frequent technology changes and provide a software quality engineer with the necessary     wherewithal to ensure the changes lead to the enhancement of quality.

Helps to align technological priorities with business objectives.

Helps deliver a shorter time to market, timely updates, and a     qualitatively superior user experience.

Helps in building and deploying applications for omnichannel     environments.

Helps to identify new metrics, be it based on performance or business objectives.

Delivers enhanced business value to end customers and other     stakeholders.

Offers customer centric innovation, early validation, reduced manual testing efforts, reduced production defects, and overall cumulative     savings.

Quality Engineering as a shift-left and strengthen-right strategy

With technologies like AI led automation, IoT, social, cloud, and mobile commerce among others being rolled out by enterprises with alacrity, quality awareness needs to shift-left and strengthen-right to align with business priorities. The comprehensive QE environment would encompass data analytics, virtualization, static and dynamic security testing, intelligent automation, API testing, and performance engineering. Since QE puts emphasis on comprehensive testing to predict and detect glitches across the SDLC, it finds itself in alignment with the DevOps goals.

How does DevOps fit into the scheme of things?

The DevOps paradigm of development and testing goes a step further than Agile by involving the Operations team in delivering quality outcomes. It envisages the creation of a quality culture where every person in the organization, especially in the Development and Operations functions, should take the onus of ensuring the quality of products and services.

The incorporation of DevOps by organizations may lead to the following outcomes

Increasing the level of automation to execute quality  validation testing.

Optimizing the test sets by enhancing the quality of test  automation scripts.

Provisioning of virtual test variables to validate the software application across parameters.

Integration of digital Quality Engineering with DevOps quality approach.

Continuous monitoring of quality solutions.

Since DevOps is seen to be adopted by enterprises to address the rising testing challenges, the two principles become apparent.

Develop and deploy automated test solutions swiftly and as     per business requirements.

Drive agility and process excellence across the SDLC by     breaking down traditional silos.

Quality engineering solutions can infuse agility into the SDLC and bridge the gap between development and deployment of applications. QE services can cover diverse environments comprising end user device platforms, advanced technologies, browsers, and databases to validate the features and functionalities of an application. To deal with the challenges of implementing DevOps such as delayed deployment, the ‘test early, test often’ approach of quality engineering through automated testing can prove to be helpful. The approach validates the quality of an application throughout the SDLC and leverages a slew of practices – behaviour driven, acceptance test driven and test-driven development.

QE services enabling continuous testing in DevOps

The implementation of DevOps would entail activities such as Continuous Integration (CI), Continuous Testing (CT), and Continuous Delivery (CD). These can be achieved by framing and implementing a robust quality engineering strategy comprising the following:

Functional testing: This type of testing focuses on the user interface and ensures all user requirements function as per expectations. This testing should be executed throughout the SDLC.

Non-functional testing: This type of testing deals with attributes such as quality, readiness, performance, throughput, utilization, scalability and security of applications.

Use of cloud: Quality Engineering can perform better in a cloud environment given the latter’s increased storage capacity, scalability, affordability, flexibility, and security. Continuous testing on cloud can be effective as the application can be tested at any point of time, which unlike in a legacy system, can be cost effective.

Conclusion

Digital Quality Engineering can ensure continuous integration and testing and offer a holistic user experience. It leverages the test automation frameworks and tools to facilitate end to end testing at a faster rate.