Extraction, Transformation, and Loading are the three tenets that will help you in checking the efficiency of the data. Before we go any further, do ...Read More
The year 2016 has witnessed a lot of technological trends in the field of Data and Security. It is not wrong to say that 2017 will take this game to the next level and reinforce a strong need for robust testing methods. Today, Testers and developers are increasingly collaborating in order to build flexibility and robustness in the development process. As we speak about software testing priorities for 2017, technology will be of prime importance. So, let’s delve deeper into the technology trends for 2017.
1. Innovation in Open Source Platforms: Open Source platforms have caught so much attention for the dynamic and active interface it offers and also for its cost effectiveness. Due to the number of enterprises cutting down on their operational investments, open source software is gaining popularity and will continue to offer an engaging platform for developers and testers.
2. Implementation of Smart Applications: The sole purpose of using smart applications will be to cut down the infrastructure cost and boost the efficiency which is a growing concern for enterprises. This will cover security tools, enterprise applications powered with artificial intelligence capabilities. These areas will evolve further and become a marketplace with interesting devices taking automation to the next level. The existing IoT devices will evolve further to become intelligent systems with AI enabled feature. These systems will dominate your homes, workplaces, hospitals, retail outlets, and much more.
3. Test Automation: Digital Transformation has set high standards for application development. Enterprises are experiencing the need to transform their heritage systems in order to cater large number of users. This demands continuous testing and validation to speed up the application development cycle and keep up the quality. New strategies, approaches and responsive test suites are needed by the businesses to build market ready applications.
4. Continuous Integration: Due to increased market challenges there is a strong need for faster software development lifecycles in order to gain speed to the market. For this, the developers and testers are collaborating and working in an agile set-up. Software/Application development process will continue to define as there will be a constant need for reliable software. Automation helps fix bugs faster and continuous integration which in turn speeds up the SDLCs.
5. Security Testing: Demand for security testing professionals in the year 2016 has increased tremendously as it has witnessed financial hacks and major data breaches. Complexity of applications and digital technologies pose security challenges that makes security testing an indispensable aspect in the SDLCs. Application security will continue to be a priority for enterprises in this era. So, there is a need for a potential blend of manual and automated code analysis, penetration testing, dynamic and static security testing.
6. Big Data Testing: In 2017, it is expected that innovations and industries will be driven by Data as all the decision making is going to get concentrated on the big data analytics. Testing the Performance and functionality of Big Data will get critical. Enterprises are exploring Big Data for deriving logical patterns and so it is going to gain more popularity in the coming future.
7. Virtual Reality: Virtual Reality has transformed the ways of communication globally. Today, it is not just used for infotainment purposes but also leveraged for a larger cause globally. Many countries are using it to present their global activities to corporates, raise funds and to drive the much needed attention. For instance, United Nations is using Virtual Reality to showcase its global activities to corporates and philanthropists, raise funds and drive the much needed attention.
8. IoT, AI (Artificial intelligence) and Smart Thing: ‘Smart things’ reminds of robots and other unmanned machinery. IoT is all about robust solutions. Developers, Architects, Business analysts and Security experts need to work together to find ways to integrate all the components. This, in turn will directly affect the testing requirements.
9. Artificial Intelligence: AI has been tremendously used across healthcare and medicine sectors. It includes deep learning, neural networks, and language processing. It further comprises of advanced systems that operate independently. These systems are capable of learning and determining future behavior. AI will be widely used to develop intelligent devices and programs. Its application will keep on growing across all the critical sectors.
10. Testing of Mobility Services/Devices: Mobility services act as a key factor for both individual as well as enterprise applications. With the popularity of m-commerce and m-wallets, a constant demand for Mobile testing will be there. Various testing mechanism combinations will be devised to meet the vast and challenging needs of Mobility services.