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Software Testing Trends: What’s New in 2019?

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In the current times, the software development industry has been changing very rapidly. Similarly, we can find the rapid developments in the software testing firms which helps to bring future advancements by coming up with new trends to allows quality analysts to enhance their skills.

 

The software industry is said to undergo major disruptions with the advent of Agile and DevOps development technologies which has to lead to the evolution of new testing approaches. To stay upgraded with these transformations, the Quality Assurance professionals rapidly adapt the trendy changes in the software testing industry. Here is a detailed list of trends which one can look out for in 2019.

●      Adapting to Agile

Today, the data has become valuable in gaining insights as businesses are undergoing the digital transformation. The adoption of an agile methodology allows a complete digital transformation to help align business needs by accepting new challenges and figuring out a new objective as well. With each sprint in agile methodology, new features can be delivered incrementally as it allows an ongoing digital transformation process to help deliver valuable outcomes frequently for the business.

●      Machine Learning in Testing

A revolutionary change in workflows and processes have occurred since machine learning has evolved. In case of testing, ML can be used to identify redundant or unique test cases, key parameters can be predicted for software testing process on the basis of previous data and extract keywords from the Requirements Traceability Matrix to allow test coverage. Machine learning helps to identify tests cases which need automatic execution when applied to high-risk areas in the application development by prioritizing regression test cases.

●      Increased Use of DevOps

Initially, the testing in the DevOps development cycle begins with continuous integration and continuous delivery. Allowing the testers to perform continuous monitoring and testing to check for the proper functionality and performance of the application along with the development.

●      Testing using Big Data

Big Data is defined as the bulk of data which can be utilized to perform analytics for better results. The big data analysts have to verify those terabytes of data which is successfully processed with the help of commodity cluster and other supportive components by focusing on functional and performance testing. The critical factor in big data testing is the quality of the data. The quality needs to be defined before the testing begins and is checked against various characteristics such as conformity, accuracy, consistency, validity, duplication and data completeness.

●      IoT Testing

With the traction of the Internet of Things, there are more connected devices than ever before. In the testing industry, IoT testing is conducted according to technology-based devices. Variant types of testing include to test the usability of IoT systems, check the compatibility of devices in IoT systems, and sensor simulation by using virtual tools. The IoT also includes the data integrity testing to validate the user authentication process and also controls data privacy to test the performance of the connected devices in an IoT network.

●      Automated Tests

The automation helps the testing team to focus their time and efforts on designing test cases rather than managing the testing. This helps to track and manage all testing needs along with the required type of testing along with the test coverage. It helps to ensure high-quality software by using specialized tools to control the test executions by comparing the actual results against the expected outputs. Regression tests require the repetitive actions by using an automated tool to perform both functional and non-functional testing.

●      Quick Delivery Cycle

To deliver the end products faster and more frequently, rapid changes in technologies, platforms, and devices are putting pressure on software development teams by integrating with the facilitate delivery. There arises a greater need for integration of various elements of product development to facilitate quick testing and analytics where the data is collected from disparate sources like requirement management systems, changing control systems, managing, and test environment. Such integration implicates that there is a need for integrated tools which helps in requirement management, task management, bug tracking, and test management. By using the integrated tools, they act as a repository of data of different modules that can be shared and used.

 

Wrap Up

The software testing industry heads up with a special challenge by making technological improvements which is difficult for the software testers to comply with those advanced changes. In this digital world, the time-to-market can actually execute the change by making a difference in the latest testing trends. An only way to stay immune against the disruptions in the software industry is to prepare for the future against the upcoming trends. From the above-mentioned software trends, the software development services company is benefited in investing their time and efforts in acquiring the right tools for 2019.

 

Ava

Author Bio:

Ava Barker working as a Technology Consultant at Tatvasoft UK which provides software development services in London. Coming from a technology background she likes to share her insights about development, design and more. She has also published her author bylines on many different publications online.

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