A frictionless and smooth user experience isn’t a big thing to ask for. In the ever-evolving and fast-paced world, customers don’t stick around if you offer them a bug-filled interface. Therefore, revolutionizing testing solutions is not only about finding and fixing errors anymore.
Achieving progressive outcomes takes a lot more than conventional testing methodologies. Staying one step ahead in the current competitive scenario is a must. For that, keeping up with the top software testing trends is the bare minimum requirement.
As the world moves towards extreme digitalization, the year 2021 has been continuing tremendous transformations and innovations in different technologies. The shift in the technological landscape has become pretty obvious with major advances including Machine Learning and Artificial Intelligence. It has led to rapid growth in the field of software testing.
We can’t exactly predict how the future is going to turn out. Well, duh! The pandemic taught this the hard way. However, we can anticipate the top software testing trends to follow in 2021 and keep on innovating further. After all, software testing does save the day, thanks to preemptive risk-assessing processes! Let’s take a look at these trends in detail.
- Boosting Smart Devices With Internet of Things
One of the fastest-growing and dynamic technological concepts is the Internet of Things. Since it integrates people, devices, technologies, and processes, IoT is here to last. It involves collecting data and sharing it via the internet.
Gartner did a research report according to which there are going to be 25 billion devices connected by the internet in the year 2021. There were only 14.2 billion devices if you compare this data to that of 2019. Doesn’t this represent growing interest in IoT?
The rapid rise of this trend calls for the implementation of optimum testing strategies. There is a lot of user information involved, therefore, it’s vital to protect software from threats and vulnerabilities. It will also lead to the release of brand new gadgets out there with increased frequency.
The only way to ensure that IoT works well will be to test platforms, communication protocols, operating systems, and devices in different combinations. Therefore, Quality Assurance teams should start expanding their knowledge and improving their abilities for performing testing in the IoT field.
- Artificial Intelligence and Machine Learning
The most striking thing about Artificial Intelligence and Machine Learning is that these two technologies are going to be omnipresent in a wide array of niches. For instance, gesture recognition and speech recognition are two segments of Machine Learning that will undergo a lot of advancement in the future.
The use of Artificial Intelligence has increased even more after the pandemic. One of the biggest reasons is that they minimize human contact. Health monitoring apps have been one of the greatest innovations ever made in the healthcare industry. Another Artificial Intelligence-enabled technology that is likely to become mainstream in the future is drone-based deliveries.
Since the core of Machine Learning and Artificial Intelligence is prediction based on algorithms and neural networks, rigorous testing is mandatory. After all, testers would have to use proper use cases to validate the technology for long-term success. All in all, software testing is vital to building a scalable and productive system to imitate user behavior using analytics and Machine Learning. They are also important components for automation.
- Codeless Test Automation
Codeless automation testing relies on visual modeling and Artificial Intelligence. This accelerates test case formation catering to automation testing. These tools can allow QA engineers with even no coding knowledge to create different test case scenarios and minimize spending time on recurring ones.
The biggest advantage is that stakeholders from non-technical backgrounds can easily review these test cases. The learning curve is low and codeless automated tests save plenty of time and cost resources.
- DevOps and Agile
Most enterprises have started embracing DevOps and agile not only as a software testing trend but as a basic requirement. DevOps integrates operation and development activities with the help of tools and processes, practices, and rules. The end goal is to reduce the time for operations and development and cut short software life cycles.
Agile and DevOps combined helps companies develop IT products of better quality, fasten evaluation, and speed up the time to market. It’s needless to say that the adoption of these two concepts is going to get much more traction in the coming years. The fact that it garnered intense attention in the past is proof.
- Surge In The Demand For QAOps
With an increasing demand for quick application releases, QAOps combines DevOps and Quality Assurance. This way, applications are released faster without any compromise on their quality. The reason behind the continuous rise of QAOps in testing trends is that it promotes software development, improves workflows, and enables the automation of various processes.
This trend also facilitates software testing using CI/CD pipelines. All in all, the development team and QA engineers work parallelly for higher speed to market.
- Performance Engineering Over Performance Testing
The demand for high-performing and fast-loading applications has greatly increased in the past few years. This has given rise to the need for performance engineering in addition to performance testing. QA teams designing an application keeping the end result in mind from the beginning itself is gaining precedence over merely identifying bottlenecks in performance.
The main target of performance engineering is to avoid potential issues in the early phases of the development cycle. Since it reduces the need to rewrite and troubleshoot, it’s a big time saver. Some elements that are a crucial part of performance testing include security, performance, usability, configuration, hardware, and software collaboration.
With a massive increase in cryptocurrency investments, blockchain technology has already gained a lot of popularity. Global blockchain technology has many uses including industries such as shipping, supply chain management, and food. Since it offers the highest possible level of security for economic transactions, it needs rigorous testing.
The transaction process can get complicated since it includes encryption, decryption, transmission, and validation. Companies have to incur adoption costs, inconsistencies, compliance issues, and so on. Well, that’s the price they have to pay for safety and reliability. But this makes comprehensive tests vital.
- Cybersecurity Testing
No matter how secure a system is, security threats usually go hand-in-hand with technological advancements. Enterprises have to keep in mind the security of the critical data of their customers to retain brand loyalty. Therefore, in 2021, the global security testing market is expected to witness a massive boom.
The usage of both web and mobile applications has increased after the pandemic. Not only that, most governments have welcomed digitalization with open arms to promote social distancing. But this also increases the risk of hacking and data sealing attempts. Therefore, cybersecurity testing has become the need of the hour and is expected to continue.
- Big Data Testing
For a while now, big data has played an important role in transforming various sectors such as technology, retail, healthcare, banking, media, and telecom. However, to ensure that the integrity, accuracy, and quality of essential data are up to the mark, end-to-end testing is mandatory. Due to the growing complexity in enterprise data year by year, big data testing is all the rage right now and for the time to come.
- Automated Testing for Mobile Applications
It’s pretty obvious how the number of mobile application users has been soaring with every passing day. There is no limit to the type of mobile applications listed on a wide variety of Play stores such as Google Playstore and iCloud. With smartphone companies developing more capable and sophisticated devices, application creators and developers have been increasing their utility through extraordinary mobile apps.
With such a drastic surge in their popularity it’s vital to have the applications tested across different devices as well as operating systems. The time to market is comparatively shorter than other products which makes it all the more necessary to adopt efficient mobile testing strategies.
Summing It Up
Unprecedented technology-driven changes are inevitable in today’s progressive world. While a lot of the trends we talked about are not mainstream yet. But if the last year has taught us anything, it’s that we should all be future-oriented at least to some extent. Life is all about evolution and changes and the same principle applies to the software testing industry.
Embracing these new trends is no longer just an option. In fact, If enterprises fail to take these into account they risk being left behind in the fierce competition. Businesses should be striving to update themselves with these upcoming trends in software testing technologies. For instance, Machine Learning and Artificial Intelligence are here to last.
Most of the trends we mentioned above are going to dominate the market this year as well as in the coming years. The earlier you start paying attention to them, the better competitive edge you will gain in the near future. So which one of these trends are you going to adopt first? Let us know in the comments below.