Giving the Green Light with QA Automation Testing

Improve customer experience, business processes, and enhance technical skills with QA Automation

 

2019 will be remembered as an important year for software testing – with a record 97% of Agile adoption according to Forrester. Upon entering 2020, it’s time to identify several new software testing trends in hopes of achieving new, strategic heights.

 

As advancements in testing approaches and techniques continue to surge, QA teams strive to improve their skill sets. This is crucial in maintaining synchronicity with rapid technological advances that effectively make of break software delivery strategy.

 

What trends have shown promise in 2019?

Creating a unique, refined, and savory customer experience has taken center stage in 2019 software delivery trends. Growing organizations rely on high-quality software to systematically produce succinct deliverables.

 

Moving forward, development teams must consider the following trends to maintain a competitive advantage in a fiercely expanding market.

 

Crafting a Quality Customer Experience

Remember testing was merely about bug finding, reporting, and fixing? We’ve come a long way. Now, testing trends are aligned with a central theme: customer satisfaction.  

 

As it stands, customer experience is the key differentiator for consumers when it comes to product choices. Customers expect more from their suppliers than ever. The advancement in technical areas like performance and DevOps are fundamental in creating a great end-user experience.

 

Performance engineering seeks to create a phenomenal,  one-of-a-kind customer experience. This is done by observing how the entire system, including hardware, software, configuration, etc. communicate and collaborate together to generate business value.

 

AI Finds its Footing in Business and QA

The rise of automation and Artificial intelligence was predicted in last year’s trends. Nevertheless, it has been included this year as companies will analyze how artificial intelligence applies to their business. According to The World Quality report, 55% of respondents said that this was their main problem with setting up AI projects.

 

With regards to QA, more companies are expected to adopt machine learning techniques in areas such as predictive analytics (predicting future outcomes of the testing process based on historical data), defect analytics (highlighting at-risk areas of an application) and test suite optimization (identifying redundant test cases).

 

The use of AI in testing might require newer skills which will eventually lead to organizations creating new roles for AI QA strategists, data scientists, as well as AI test experts in QA and testing teams.

 

Instant Apps Take the Spotlight

Instant apps are native mobile apps that are smaller in size. Thus, more convenient for the user who is no longer required to download a standalone app.

 

The demand for better user experiences and shorter load times are constantly increasing.

 

Google’s introduction of Android App Bundles allows developers to modularize their apps and deliver features on demand; this will make more organizations adopt the Instant Apps approach.

 

QA Decentralization

The QA and testing department has been fragmented as a result of the transition to agile and DevOps. QA is now embedded into cross-functional teams. So, quality is dependent on the team members’ skills and their responsibility to integrate testing into their product lifecycle.

 

Continuous Improvement

The trends mentioned above have contributed to the rise in the adoption of Agile & DevOps over the past few years. Testing is an early part of the development process. More companies will adopt more agile/DevOps models to help them release faster and receive quick feedback. Other companies will take it a step further by adopting approaches such as continuous testing and continuous monitoring.

 

An attitude of “continuous improvement” will enhance the overall performance and quality of products by teams.

 

Quality Engineering over Quality Assurance

QA professionals will enhance their technical skills and include some automation-related work organized by quality engineers. The role of Quality Assurance will deviate to implementing the latest technologies to boost the speed of quality checks. This is a trend that will come into play in the coming years.

 

Big Data Testing

With big data testing, testers have to verify that terabytes of data are successfully processed. Additionally, the aggressive increase in quantity is making it more tasking for companies. More likely, QA will have to deal with validating the quality, accuracy, and consistency of huge datasets.

 

These trends above demonstrate the crucial transformation both companies and QA is undergoing. The expectations of consumers will continue to shoot up. Organizations must adapt and deliver if they must remain in the front line and grow beyond 2019.

 

The post Giving the Green Light with QA Automation Testing appeared first on Software Development & IT Staffing Company.

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