Wednesday January 10, 2018
Software testing techniques and methods have changed a lot in the last decade. Inspired by the manufacturing process, software testing has acquired the waterfall approach to test for the quality, which involved step-by-step checks and case tests when the products are at user acceptance phase. This made the task a lot more difficult for manual testers as the amount of data to be processed to run all the test cases was too much.
The emergence of Agile and DevOps methodology by many business organizations insert the testing and checking process at an earlier phase of the process. Similarly, there had been considerable changes in Software Testing methods in past that needs to look forward in future. So let’s check out the following testing trends which will transform the future prediction:
The world is changing continuously, and every now and then, there is a talk about new technology surfacing in the market. Quality Assurance (QA) follows a systematic waterfall approach for testing which is a step by step process, making it
IoT (Internet of Things) is one of the fastest growing technologies in today’s world and IoT is
Agile Methodology has been used for the last 17 years after it was discussed in Manifesto of Agile Software Development. This methodology promotes working with various small teams in collaboration and while doing these tasks & taking on a smaller amount of processes and makes a quick and continuous delivery. Modern practices based on Agile Manifesto can be really helpful with User
DevOps is a term used for a particular set of rules or principles to reduce the amount of time from development to operations. DevOps is not particularly a new concept in business but its emergence in the technical field is quite recent and in the past 5 years, it has gained a tremendous amount of support from the business organization. In the coming years, more organizations are likely to adapt to these set of principles to improve their overall performances as its emphasis on Automation and Integration.
We live in the golden age of technology, where the clients and users on various platforms upload terabytes of data and so managing such amount of data, it needs a unique approach for testing. Big Data Testing is a process which can be helpful for business to test such large amounts of data. The main aim is to test the data for quality to start with. Big data is a really large amount of datasets which can’t be processed by traditional computing techniques.
Mobile is now one of the most important parts of an individuals’ life. Nowadays there is an app for everything where the number of devices, OS platforms
Microservice is basically a method of developing software to specifically test for any particular conditions. Types of services can be generated and by establishing a connection between them, the whole task can be divided into parts. In this, each service is created in such a way that it can perform a particular set of processes. This gives you the freedom to make changes in any smaller specific area of the application which requires changes instead of changing the whole system.
Open source tools are really beneficial for business and are going to play a vital role in future too. There are many advantages of using Open Source Tools other than the cost, as it is a free to use and available to the public. It can be easily customizable, is more flexible than some expensive proprietary stuff and it is open for public. Users do have a hand in designing so it really gives you the freedom to design the way you want and there are many integrations for your powerful Test Automation too. A debatable point could be that of security, as being available to the public is not actually a definition of secure but when it goes through more sets of eyes the chances of finding out the bug and fixing it increases.
This article talks more about the methods and principles of Software Testing, which can be really important in changing and speeding the process. This will result in faster updates, better user experience and further advancement to the next level of computing.