When analyzing current automation trends and how they will continue in the future, it's important to remember that the quality of any product of software depends on the quality of your software. This is an integral part of the development process of softwareIn recent years, it has become easier, more reliable and more comprehensive for the testers of software do their job.
This article discusses the main current trends shaping the testing of softwareand predicts those that will continue in the future.
Artificial Intelligence and Machine Learning
Artificial Intelligence (AI) has made its mark prominently in today's digitalized world. According to the website StatistaThe market for software AI will grow rapidly over the next few years, reaching around 126 billion dollars by 2025.
In order to improve testing processes, the testing trends of software incorporate artificial intelligence and machine learning technologies. An AI algorithm, for example, generates test cases, and ML techniques are used to identify patterns and anomalies in the test data.
Using IoT Testing for Smart Devices and Systems
As the popularity of the "Internet of Things" increases, the testers of software are switching to IoT testing - a network of interconnected physical objects that allows them to collect and exchange data.
As the number of IoT devices increases, functional testing and security testing have become essential to confirm that these devices are working effortlessly. Their aim is to verify that IoT devices and systems work as expected.
RPA test
RPA, robotic process automation, is a technology of software which provides an easy way to create, deploy and manage robots from software which mimic human actions when interacting with digital systems. It thus allows humans to focus on higher-value tasks, freeing them from performing repetitive tasks.
Automated RPA testing ensures that these systems are working effectively and meet user requirements: it improves efficiency, reduces costs and cuts down on errors.
Furthermore, as RPA systems are used in the health and finance sectors, the need for their efficiency and reliability has increased.
Multi-Device Testing for Smarter Test Automation
Everyone has several devices connected to each other all the time, such as smartphones, tablets, laptops and home devices. Tests are therefore carried out on several devices to ensure that the application works effectively on each connected device.
Multi-device testing ensures that the application works correctly in terms of size, shape and operating system. As the use of multiple devices increases, so does the opportunity for multi-device testing. There are many quality control automation testing services that offer multi-device testing to test multiple devices and browsers simultaneously, reducing the overall time and effort required for testing.
In addition, mobile application testing services ensure that the mobile application is compatible with all devices and operating systems.
Test Blockchain for Greater Safety and Performance
Blockchain is the latest trend of the decade, with the growing popularity of digital currency and NFTs, most companies have started to adopt the technology. Along with its growing popularity, the blockchain brings security threats.
Today, cybersecurity has become a global issue, so in order to guarantee the security of your application based on blockchainThe blockchain are essential. They ensure that your application is secure and that the products are reliable by locating and resolving various problems, such as compatibility issues, security breaches or any other aspect that affects their functionality. Thus, many companies based in blockchain insist on having their application tested with blockchain to improve safety and performance.
Transforming Test Automation with Chatbots
The chatbots are sophisticated tools that talk to customers about any of their questions at any time of the day. As well as interacting with customers, they handle requests and provide all the information they need. Their integration with artificial intelligence and natural language helps companies to facilitate interaction with consumers. With automation tests, the chatbots can improve and optimize the testing process. Chatbots easily speed up the testing process as they automate routine tasks, allowing testers to focus on important tasks.
Data Testing
Business online are heavily dependent on data, so data testing with automation and specific tools allows testers to deal with the complexity of large volumes of data. Data testing includes checking data pipelines and processing application that has a large amount of data in various formats, data storage, consumption, processing, modeling and visualization.
Data testing guarantees quality, accuracy and consistency, and with the growth of the industry, most companies want to guarantee the authenticity of data, making data testing a growing factor in automated testing.
The continuation of the original article via EuroSTAR Huddle can be read here.
