It’s 2022! 🎉 I can’t still believe how the time is going fast as the blog is 1 year old! 🥳
Thank you everyone for reading and I hope you will enjoy the reading in 2022 🙂
When the New Year starts, we’re starting to consider what are the Software Testing trends for this year. In this post, I will try to show and explain the most important of them.
Agile is a more and more important methodology for software testing that focuses on the aim of the application, helps simplify the structure, and creates opportunities for searching issues and fixing them quickly. Thanks to using that methodology, we can easily organize the test process and hence the whole team is responsible for the project.
It will help to reduce time as well as everyone in a team has different tasks to do and communication within the team is much easier.
Dev Ops and Continuous Testing
DevOps is a culture in the organization that focuses on delivering value to the customer through a constant collaboration of Development, Operations, and the rest of the stakeholders. Its practices include Continuous Integration, Test automation, Continuous Deployment, Infrastructure as a code, configuration management, release management, and application performance monitoring.
When we will connect DevOps to Agile, that will help the teams to develop and deliver quality software faster, which in turn is also known as “Quality of Speed”. It will gain much interest in the coming years.
Continuous testing in DevOps is a type of software testing that involves testing at every stage of the development life cycle. The goal of continuous testing is to evaluate the quality of the software as part of a continuous delivery process, by testing early and often.
This helps to find more issues which leads to fixing them faster and delivering good quality software.
We want to test the software faster as well as we want to do it quickly. When we’re testing manually, we need to repeat the actions a lot of times. When we do that, it becomes time-consuming and also we’re starting to feel tired of that actions. It may lead to making mistakes during the tests.
When we decide to automate tests, we need to learn a lot, it seems to be more time-consuming than manual testing but when we will get it sorted, the time will come back to us as we will write the one script that can be run on a lot of repetitive actions, so it will save our time.
Time is the money, so it’s that important for more companies to introduce it in their testing processes.
We may observe a steady rise in IoT (Internet of Things). As per various research studies, the market for IoT is going to rise in the coming years. In IoT testing, safety is a crucial component. As all the devices are connected to the internet, thus how secure and safe each device is needed to be taken into consideration.
Without any notification, users’ data will be gathered, which might, in turn, impact the product’s transparency. We must know with certainty that safety measures are an important aspect of IoT testing, and focus on security testing in IoT.
AI and ML
Artificial Intelligence (AI) is still at a nascent stage, creating a window of new jobs and opportunities for data scientists and AI quality experts. The primary purpose of AI in QA is to ensure that teams optimize and prioritize their time, resources, and opportunities.
Machine Learning (ML) is the method to train a computer to learn from its inputs but without explicit programming for every circumstance. ML helps a computer to achieve artificial intelligence.
We should apply AI and ML algorithms to generate better test cases, test scripts, test data, and reports. Predictive models would help to make decisions about where, what, and when to test. Smart analytics and visualization support the teams to detect faults, to understand test coverage, areas of high risk, etc.
Cybersecurity and compliance testing
In this times companies fight for staying competitive by business modernization. It has caused companies to use many connected applications and devices. Inevitably, it left them more open to cybersecurity threats and attacks. Given the importance of data protection, as indicated by customers (and expected by the law), any personal information leakage or improper user access may trigger irrevocable financial and reputational losses.
More and more companies decide to move data from old environments to these fully cloud-hosted. During the transitioning period, they must embrace modernizing testing practices, powered by agile, AI, ML, and data analytics, to ensure compliance and safeguard their technology infrastructure.
It looks like 2022 will be a very productive year for Software Testers. By using new trends, we will be able to conduct more and more research with the widest possible quality, security, and speed level.
I hope you’ve enjoyed the article and found some inspirational information which you could also use.
The next post will arrive soon 🙂
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