10 Software Testing Trends 2019
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The document outlines ten software testing trends to watch for in 2019, emphasizing the impact of agile methodologies, machine learning, and IoT testing. It highlights the importance of integrating automated and manual testing approaches, as well as the need for efficient test management and quality assurance practices to keep pace with rapid technological changes. The key focus is on enhancing software quality through continuous testing and delivery processes in a dynamic industry landscape.
10 Software Testing Trends 2019
- 1. 10 SOFTWARE TESTING TRENDS TO LOOK FOR IN 2019
- 2. With the emergence of Agile and DevOps, the software industry is opening new doors leading to the evolution of new testing approaches. It is becoming mandatory for quality assurance professionals to keep on top of their game to stay relevant in the industry. Scroll through to know the 10 software trends to watch out for in 2019. rockinterview.in
- 3. rockinterview.in Digital Revolution with Agile Agile Methodology tops the latest trend in digital transformations. Businesses are going through various digital shifts since the value for data has increased. Agile method helps to align digital transformation initiatives with business challenges, objectives and use cases. As transformation has to be an ongoing process, valuable changes and updates can be delivered faster with agile.
- 4. rockinterview.in IoT Testing and its Types As technology is gaining more traction, there are more devices connected to IoT than ever before. IoT testing is conducted to test IoT technology based devices. The various types of testing for IoT systems are Usage Testing, Compatibility Testing, Accuracy & Scalability, Testing, Data Integrity Testing, Security Testing and Performance Testing.
- 5. rockinterview.in Turning Tables with Machine Learning Machine Learning is changing the process of workflow. It can be used for test suite optimization, predictive analytics, log analytics, traceability and defect analysis in the field of testing. These processes help identify unique test cases, predict key parameters of software testing processes, identify test cases which need to be actioned immediately, extracting keywords to achieve test coverage and identify high risk areas of the application.
- 6. rockinterview.in Testing with Big Data Focused on performance and functional testing, Big Data testers are required to verify that TBs (Terabytes) worth of data are processed successfully using the commodity cluster and similar supportive components. The quality of data is also a critical factor in big data testing and hence, is verified before the testing begins. Various characteristics like conformity, accuracy, consistency, validity, duplication and, data completeness are the base characters for checking data quality.
- 7. rockinterview.in Increasing Application of DevOps The testing process begins at the beginning cycle in DevOps. This facilitates Continuous Integration and Continuous Delivery; allowing testers to perform them and validate whether the application built is right or not. To ensure there are no changes in the core product and its code, the testing team has to align the test design, test automation, and test case development with DevOps.
- 8. rockinterview.in Performance Engineering for Better Results Focus from performance engineering will move to performance testing in 2019. It’s going to be about analysing how system elements will work together rather than just implementing performance test scripts. It’s is all about combining and emphasising on the items of highest value and delivering these items fast to ensure a high-quality product and exceed customer expectations.
- 9. rockinterview.in Test Automation The significance of the test automation is to help the testing team on creating test cases rather than managing testing needs while ensuring that high quality softwares are delivered. Specialized tools are used to discipline the execution of tests to compare the actual results against the expected results. Relapse tests that require repetitive actions are automated. Automation tools are used for both functional and non-functional testing.
- 10. rockinterview.in Reducing the Delivery Cycle The software development team is now under pressure to deliver finished products faster and more often as rapid changes are taking place in technologies, platforms, and devices to deliver the finished products faster and more frequently. Need for test management tools will increase as companies invest more in improving their development and delivery processes.
- 11. rockinterview.in Fusing Automated and Manual Testing Many quality assurance professionals are using a combination of manual and automated testing approaches to harness the benefits of both the methods. However, manual testing is a dominant method, because areas like usability and design still require this manual intervention.
- 12. rockinterview.in Integration Along with faster delivery, the need for integration of various channels and elements is also increasing. To facilitate smart testing and analytics, the data is collected from distinct sources such as requirement management systems and change control systems. Thus the tools that enable these are also in demand, tools that can combine and stock data of different modules that can be shared and used.
- 13. rockinterview.in Conclusion To think one step ahead, be on top of the trends and keep updating yourself with latest trends and practices. Preparing for the future is the only way one can be immune to the disruptions in the industry.
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