Supercharge Your Strategic Functionalities by Integrating Quality Engineering With DevOps

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Supercharge Your Strategic Functionalities by Integrating Quality Engineering With DevOps

Engineer quality software by integrating quality engineering with your DevOps lifecycle.

· DevOps Zone ·
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DevOps is being embraced by most if not all of the IT sector for a transparent workflow. DevOps’s main principality is that it allows for a continuous flow between software development and deployment which enables the user to receive software updates at ease. It also provides for a transparent and visual understanding of the entire software lifecycle.  

The focal point is to engineer quality into software coding and development and generate revenue in such a way that the ROI is a linear upward curve, year-on-year. Hence, companies are slowly shifting from quality assurance to quality engineering. According to 2018-2019 World Quality Report, 30% of organizations rate time to market the most important part of their corporate strategy. Implementing quality engineering involves a decrease in the time-to-market statistic, a shift left approach to the testing cycle, lesser defect rate and minimum observation of bugs in the production environment.

QA or QE: Which Integration Is Suited for Your Software Lifecycle?

The World Quality Report also stated that a total of 88% companies had adopted DevOps principles into their businesses in 2015 and now 99% of companies have started to integrate DevOps with their software environment in 2018. Hence it makes it highly important to have a control over the quality of the software service that is being enriched with DevOps techniques.

Now the question that pops up is whether to continue with quality assurance practices or to introduce quality engineering methodologies into your business project. What’s the major difference between QA and QE and what are the techniques or lifecycle practices to integrate both the components – quality assurance/quality engineering and DevOps – seamlessly with each other? Each of these questions can be answered by delving into each component – quality assurance and quality engineering – and understanding how each matches up against each other.

The Huge Chasm Between QA and QE

According to the U.S. Bureau of Labor Statistics (BLS), software quality engineering is one of the high-tech professions whose growth rate is projected to be slower than average. What could be the reason? Could it be that QA is killing the quality obtained by using DevOps?

Quality assurance is the type of quality process where comprehensive testing procedures are done so as to meet the requirement analysis that is performed at the beginning of the particular project, prior to development, coding, and testing. Where quality engineering differs, is the capability to perform an FMEA – Failure Mode Effect Analysis – which does a root cause analysis into the reasons behind component or functionality failure. Quality Engineering focusses on the quality of the product or service right from the ideation and that’s a complete winning strategy.

Second, quality assurance has always been regarded as the last stop before the service or product goes for release. Quality Assurance was primarily brought out to observe and file the defects and to send the defect and code back to the developers for a renewed testing process. Quality Engineering, however, is all about working with cross-functional development teams to analyze and rectify defects which occur in real time. It also involves a complete in-depth analysis of the impacts of the defect and prevents similar defects from happening within the life cycle as it is being readied for release.

The Transition From QA to QE

According to the World Quality Report, 49% of organizations complain that manual testing remains the biggest bottleneck in the entire software test cycle. The first step in implementing quality engineering is to have a shift left approach in testing and bring about automated testing as much as possible. Prevention of critical and blocker issues is better than detection of the same. In order to achieve a complete automation structure, a proper software automation plan has to be drawn up, which is scalable with the different test case scenarios. Also, test and development teams working together provide for defects where the root cause can be obtained easily and continuous integration can happen across different functionalities.

The software automation plan or quality engineering process should define what will drive the software life cycle. More importantly, a completely sustainable automation framework or methodology should be adopted to allow for CI, CT, and CD.

Integration With DevOps

The DevOps pipeline is one which has multiple stages with an aim of having a completely transparent workflow. Certain processes – Development, Coding, Monitoring, Deploying, Testing, Releasing – when integrated with a shift left approach and automated testing (i.e. quality engineering), allows for everyone including business leaders, developers, testers and decision scientists to understand what happens within the pipeline. Once testing is brought out early in the development cycle, many of the defects are observed and faster ROIs are generated by having nimble solutions.

Certain Requirements:  As software is engineered with quality while still adopting the DevOps principles, there are certain requirements which have to be initiated. The entire process must be an agile based approach where faster delivery and release is provided while not compromising on the customer experience. Also during this process, not only are CI, CT, and CD mandatory, but also continuous monitoring and continuous build and development should also be provided.

Why Transitioning and Integration of QE With DevOps Is Important Right Now

In a technology-driven world, technological discoveries aren’t an anomaly. These discoveries are expected and demanded and the competition between companies along with the expectations and demands of customers are going to increase. Hence it is highly important for the survival of a business that early testing cycles are in place, running in parallel with the development and coding phases, that test case scenarios are automated as much as possible to lessen the quantity of defects and to increase the test case coverage, that continuous testing is performed once QE is integrated with DevOps, and that the development and operational teams have complete visibility of what’s happening and get a complete idea of all updates within the pipeline. Transitioning from QA to QE and integrating with DevOps reaps plenty over the entire software life cycle, so it’s important to start right now.

continuous integration, continuous testing, devops, qa, quality engineering, software development, test automation, testing

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