As the application ecosystem continues to evolve, software testers are constantly learning new ways to ensure end user experiences do not get impacted in a negative way. In fact, testing services providers that like to stay ahead of the curve are already adopting new ways to make software applications deliver richer and more intuitive experiences which the new, evolved application ecosystem offers.
2016 saw the rise of digital adoption, with businesses witnessing faster Software Development Lifecycles (SDLCs) and faster releases. As we reach the end of 2016, and gear up for 2017 and beyond, here’s a look at some of the key trends in QA testing that will impact businesses across industry verticals.
Open source is going to continue to contribute to innovation. Testing organizations and in-house testing teams will remain open to wider adoption of open source testing tools for test automation, DevOps and Agile. Choice and availability of support forums for open source technologies remains a major contributing factor to their adoption and the trend will grow.
The emergence of SMAC has given a new outlook to application performance. And businesses are realizing the need to upgrade their IT strategy in order to meet the changed requirements of modern users. And so to make their software application suites ready and responsive to social, mobile, analytics and cloud demands; software development companies are focusing on testing strategies tailored to optimally verify and validate applications around SMAC technologies. Responsive testing service providers have developed new approaches, strategies and application testing folds to make applications market ready in the era of SMAC.
Continuous Integration (CI)
Faster software development lifecycles and reduced release timescales require application development and QA teams to work continuously in sync. Automation testing brings higher efficiency in the bug fixing, reporting and updating process. As business seek speed to market, more reliable software and higher cost savings in QA from automation, test automation and continuous integration will continue to further expedite SDLCs.
Mobility remains at the helm of digital transformation. Mobile is becoming the predominant consumption form factor for computing for both personal as well as enterprise use cases. Mobile testing will witness sturdy demand across all major industry verticals with the rise of mCommerce, mPayments and so forth.
Businesses have never been more concerned and proactive around the security of their critical applications. 2016 saw significant investments in application security, making security testing major focus areas for IT leaders. Over the next year and beyond, application security will continue to remain a top priority for businesses.
A growing number of businesses are realizing the importance of bringing focus on security testing right from the beginning of the application development process. A combination of manual and automated code analysis, dynamic and static security testing, and penetration testing is now increasingly being adopted by testing organizations.
Big Data Testing
Data driven decisions are going to continue to prove to be key differentiators for enterprises and businesses. Organizations will show greater adoption of big data analytics solutions, however, it would require robust testing strategies and optimum qa environments to successfully implement big data.
Performance and functional testing are key to Big Data testing. With more and more companies exploring big data, specialist testing organizations will look to leverage expertise, tools and accelerators to drive the most out of big data implementations over the coming years.
SMAC Testing goes beyond individual application of testing methods for social, mobile, big data and cloud testing. It requires successfully combining different testing methods and techniques to address social, mobile, analytics and cloud applications individually as well as synergistically.
The internet of things has been a buzzword for quite some time now, but with more visible use case scenarios, IoT applications are seeing wider adoption. The trend will certainly rise over the next 2-5 years. From a QA perspective, IoT apps, especially when combined with AI, robotics and machine-learning, are going to require rigorous testing to avoid fatal security and functionality lapses.
As businesses strive for business agility, faster time to market, improved application performance, and greater software reliability, QA testing will become a strategic investment function for independent software vendors and application service providers.