Software Testing (QA) trends for 2018

Out of the research documents we referred at AustereTech, we understand that the software testing outsourcing market is expected to grow from $30 Billion in 2010 to $50 Billion in 2020 according to NASSCOM reports. The digitization of business has brought new technologies in software development and paved way for innovative testing practices. Quality Assurance (QA) helps identify the weak loopholes of the websites and applications before the commercial launch. It forms an irreplaceable phase of software development and saves time and effort of the development team.

The software testing domain is expanding with the rise in technology innovations and will continue to contribute towards developing bug free software. The rise in number of mobile devices have pressurized the testing teams to resolve and test the complexity and challenges of these devices. Software testing requires combination of speed and quality to deliver quality products. The upcoming trends in different domains of testing are:

The Internet of Things (IoT):

The IoT technology is acting as the focal point for all technology developments. The interconnectivity of devices via software and hardware poses numerous challenges for QA teams. There are no unified protocols for communication and it creates security concerns for developers and end users.  The IoT products need to be tested for functionality, reliability, and effectiveness parameters. The major concerns are network interfaces and the user authentication along with greater chances for security breach incidences. Proper static and dynamic testing of IoT devices is required to gauge the loopholes.

Convergence of Agile and DevOps:

The test teams are now a part of the core development team and the focus is on quality engineering and testing has to be more progressive, iterative, and integrated with development process from the start. On the other hand, DevOps requires Continuous Testing with Automation Testing at all levels. The test teams verify the requirements, configurations for integration and delivery and automated frameworks to support DevOps.

Reign of open source tools:

The open source tools offer greater involvement of support communities along with abundance of features, lower development costs and efficiency in development. The open source tools can be easily modified according to project’s requirements and are easily accessible by both the developers and non-developers.

Emergence of Performance Engineering:

The systematic and quantitative approach of Performance Engineering focuses on the architecture, design, and implementation of development process. It ensures that the final product adheres to the performance requirements along with consistent UI/UX and performance across platforms, OS and devices.

Advent of Big Data Testing:

Big Data applications require high level analytical tools and frameworks. The data sets will be in massive quantity and numerous tools will be applied on them to generate aspired performances. The ecosystem testing, extraction of data testing, transformation testing, analytical testing and functional testing are the major areas of testing deployed in a Big Data project.

Test Automation will be inevitable:

There will be a growing need for enterprises to rigorously test their applications and systems, which is definitely going to be impossible with manual testing. Though at some point teams will have to involve manual testers, but the overall focus is going to be on automation. It will help accelerate the testing process and bring more efficiency to the overall software development cycle. Moreover, it will bring down the efforts of the testers and developers, enabling them to spend time and get creative with more important issues. Both Licensed and Open source tools will be leveraged as per the specific needs of the enterprise and the budgets. For instance, start-ups will be more ready to experiment with open source and community-based help, but big enterprises might be comfortable with licensed tools or a combination of both strategies.

Testers will have to hone development skills:

New testing and development technologies need more and more collaboration between teams, which means that the roles could be interchangeable at some point. The testers will have to get into coding and developers might have to build test cases. The role will be more and more evolutionary in nature rather than being segmented. This also implies that testers will be have to get more logical and creative in solving problems rather than just sharing the test results.


Though the testing teams are adapting to new technologies, but they also need to upgrade their skills to test the functionalities of the products or solutions. A complete software testing life cycle holds the key to deliver sound product as per the customer requirements. The new testing trends will create challenges for the testers and make the development process cost-efficient and effective.

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