Software testing has turned into a vital piece of an IT field. Nowadays there is a considerable measure of software development companies contributing a piece of assets and manpower for different programming advancements for testing. Software testing and digitalization are simultaneously being evolved with several changes and advancements in the world.
These latest software testing trends are effectively simplifying the way of testing with better testing strategies makes testing easier and accurate. Software Testing Institutes In Chennai helps to increase the efficiency in the testing process.
Some of the future enhancement in software testing are listed below
1. Increasing Adoption of DevOps
In DevOps Testing, the testing begins at the beginning of the development cycle of the project. This development approach facilitates Continuous Integration and Continuous Delivery of the system. This allows testers to perform Continuous Testing and Continuous Monitoring to validate that the developers have built the right application as expected by the user. The functionality and performance of the application are tested continuously along with the development phase of the system.
The testing process team aligns the test design, test automation, and test case development with DevOp. They not only verify the code changes but ensure that the changes don’t break the product which finally results in a quality product.
2. Big Data Testing
Big Data is the high volume of data generated at a high velocity. In Big Data testing, testers have to verify that terabytes of data are successfully processed using commodity clusters to enrich the testing effectively. Big Data Testing type of testing focuses on performance testing and functional testing.
The quality of data is also a critical factor in the big data testing process. The quality of data is being verified before the testing process begins. The data quality is checked based on various characteristics such as accuracy, conformity, consistency, validity, duplication, data completeness, etc.
3. Digital Transformation With Agile
Businesses are undergoing digital transformation since data has become valuable in gaining insights into the industry. The latest trend is the adoption of agile methodology to undergo a digital transformation in the industry. Agile methodology helps to align digital transformation initiatives with business needs to make the testing process easier and accurate.
The agile team helps to define the business challenges, objectives, and use cases for the problem.
In the agile approach, new features are delivered incrementally with each sprint of the module. As digital transformation is an ongoing process in the agile methodology where agile helps to deliver valuable outcomes frequently for the business rather than waiting for a long time for the result.
4. Machine Learning in Testing
Machine learning is bringing about revolutionary changes in workflows and processes for testing a product. In testing, machine learning can be used for the following purposes:
- Test suite optimization – Helps to identify redundant and unique test cases.
- Predictive analytics – Used to predict the key parameters of software testing processes based on historical data.
- Log analytics – Helps to identify the test cases which need to be executed automatically.
- Traceability – helps in extracting keywords from the Requirements Traceability Matrix (RTM) to achieve test coverage.
- Defect analytics – Mainly used to identify high-risk areas of the application for the prioritization of regression test cases.
5. IoT Testing
More devices are connected than ever before as the Internet of Things technology is gaining traction. IoT testing is conducted to test IoT technology-based devices to get improved results. The various types of testing for IoT systems listed below:
- Usability Testing – Helps to test the usability of an IoT system
- Compatibility Testing – Used to check the compatibility of devices in IoT systems
- Reliability & Scalability Testing – Simulation of sensors help in utilizing virtualization tools
- Data Integrity Testing – Helps to validate the integrity of data
- Security testing – Helps to validate the user authentication process and data privacy controls
- Performance Testing – Used to test the performance of the connected devices in an IoT network
6. Performance Engineering
Performance engineering is introduced to replace performance testing in 2019. It is based on executing performance test scripts and also the focus will be on analyzing how all the elements of the system work together.
The benefits of the systems include performance, security, usability, hardware, software, configuration, business value, and customer satisfaction. Performance engineering is the process of collaborating and iterating on the modules of the highest value and delivering these modules quickly which helps to ensure a high-quality product. Performance engineering will help in exceeding customer expectations in the year 2019.
7. Test Automation
The test automation helps the testing team to focus their time and efforts on creating test cases and also on managing testing needs. Test automation is done to track and manage all testing needs, the types of testing required along with the test coverage of the system. Test automation helps to ensure high- quality software is delivered to the customer.
Specialized tools are used to control the execution of tests to compare the actual results against the expected results of the project. Mainly focuses on the regression tests which require repetitive actions to be automated. Automation tools are used for both functional and non-functional testing processes in the system.
8. Combining Manual and Automated Testing
Quality assurance professionals are done by using a combination of manual and automated testing approaches. This helps to harness the benefits of both as well as to overcome their respective shortcomings in the project. Manual testing is still dominating one in the testing industry. Automated testing increases the efficiency in the testing process. But there are some cases where certain areas such as usability and design require manual efforts done by the testers.
9. Shortening Delivery Cycle
Since there are rapid changes in technologies, platforms, and devices, there is increasing pressure on software development teams to deliver the finished products faster and more frequently to the customers. Testing is needed to be integrated with development to facilitate the delivery process. Software organizations are highly interested to invest more in improving their development and delivery processes by employing the right set of tools. The need for test management tools will increase to match up with shortening delivery cycles in the project.
With shortening delivery cycles, there is a greater need for integration of various elements of product development in the industry. To improve the smart testing and analytics process, the data is collected from sources such as requirement management systems, change control systems, task management systems, and test environment in the project.
This proves that there is a need for integrated tools that help in requirement management, task management, bug tracking, and test management of the project. The integrated tool acts as a repository of data of different modules that can be shared and used by the testers.
The upcoming year of 2021, is expected as a technology-based software testing. There is no end for the testing field, according to the emerging challenges and requirements, software testing technologies, or the software trends constantly get advanced in the world. The Software testing training institutes in Chennai helps you grab the importance of software testing. Software training in Chennai makes you get a clear idea of future enhancements in the testing field.