The technology is advancing at an unprecedented pace, and so are the ways of performing a wide range of tasks at work. The time has gone when an entire IT product quality assurance team used to sit in a department and manually check the functionality of applications without any kind of interactions with developers. The key ways of creating software have changed over time and increased the role of software testing.
Product quality management is no longer an ordinary step of the development process and has become an essential part of the strategy that decides the fate of the final application or software. Software testing, to be specific has changed all together following the growing adoption of digital technology.
Enterprises worldwide are foraying into the competitive and turbulent software industry with a keen focus on offering optimal quality products to gain an edge in the market. Software development largely depends on effective software testing that follows a shift-left approach today. Software testing is now increasingly performed in tandem with the software development life cycle (SDLC) to enable faster delivery and increased ROIs. Following this growing wave of software testing in the SDLC, an increased number of enterprises are seeking end-to-end testing cycles and hence are heavily investing in advancing software testing services.
Big Data Testing to Empower Enterprises
Enterprises across the world deal with huge data volumes and different types of data. The mining of huge amounts of structured and unstructured data demands effective testing. Businesses are turning to big data testing to enable better decision making backed by accurate data validations. This will help enterprises improve market targeting and strategizing.
IoT Testing to Boost Smart Devices Market
According to Statista, there will be over 20 billion connected devices in 2020. With massive expansion expected ahead, the need for an effective IoT testing strategy has become a dire need for enterprises. Testing for vulnerabilities in IoT devices has become an emerging business need as IoT encompasses various products that are some way connected to the internet.
AI & ML in Testing goes Mainstream
Artificial Intelligence is on the way to becoming omnipresent in all spheres of technological innovations. Machine Learning (ML) and user interfaces like speech recognition and gesture recognition will rapidly advance in the years to come. With the world nearing a complete digital transformation, there is a dire need for a system that is predictive and scalable to cater to the future needs of the software. The advanced applications in the connected world of the future will evidently demand testing to enable the impeccable use of AI and ML to automate processes.
Surge in Blockchain Testing
Blockchain is likely to emerge as the technology of the future. Companies can’t just implement blockchain-based apps without proper testing. The ever-growing applications of blockchain that are no longer limited to the financial world have strengthened the need for testing for blockchain debugging.
RPA as a Power Tool for Testing
RPA is more of an extension of automation and can be leveraged with highly complex processes that can be automated with Artificial Intelligence. Robot-driven automation can transform the workplace completely and can perform all tasks done by automation testing tools.
Software testing, a critical aspect of quality assurance is garnering more traction than ever and is likely to witness the trends mentioned above. Automated testing is replacing manual testing at a rapid pace. Enterprises need to stay abreast of the latest software testing trends to ensure quality products. Businesses that are keen to deliver optimal quality software can explore possibilities with PureSoftware software testing and QA services.