Test automation tools: 8 trends and techniques to watch

It is important to test different parts of a software that is newly introduced and there will be no humans included in this. It is very important in the designing of a software without a man’s presence in front of a computer whose work is essential for conducting the tests manually.  Automated tests are nothing but which makes improvements to the tests in a repeated manner if some adjustments are required. To learn and expand your knowledge in test automation tools, Tosca Online Training may help you. The present 8 trends and techniques in the test automation tools are given below:

Programming Languages

It is very important for any engineer to know about the programming languages they are interested in and to learn. Programming languages are used for problem solving in a simple manner by using small logics. Some sites showed the list of popular programming languages in 2021, and the order of programming languages in the list is: 

  1. Python
  2. Java
  3. C
  4. C++
  5. JavaScript
  6. C#
  7. R

API Security Testing

API is a language which is used for different applications. API security is used to secure API important things from hackers and helps to build the APIs in a clear cut manner. API security testing is used to check the loopholes present in the server or software or in the APIs, and use an engineering team to fix the security level in the organization. It leads to:

  • Leakage of important data
  • Unauthorized Access
  • Vulnerability Injection
  • Tampered Parameters, etc.

These API security testing methods are used to protect the API in a neat manner. Some of the security issues generated by the API are Authentication Breakdown, Virus injection, Exposing important data and XSS. Burp Suite, Proxy, Manual Testing, SQL Mapping, and Astra Security Scan. It costs from $350 to $1500 per scan.

Cloud Native Testing

Cloud Native Testing is a test automation tool which allows employees to give response as fast as possible to customer demand, is also used to make some operations with the business needs and also to concentrate on the things which are most important. It helps teams in the software field to become champions of test automation and making certain improvements.

Cloud Native Testing strategies save time and also money. It is used to make better software end products. To know about this, it is important to identify and end the system issues before they make a larger number of different problems. Here, we will be focussing on some strategies to test cloud native applications that are: Unit Testing, Component Testing, Integration Testing,and End-toEnd Testing.

NLP Based Automation

Natural Language Processing (NLP) is mostly used in Artificial Intelligence which is concerned with the interactions between natural languages of humans and the computer. For  NLP, the building blocks are Understanding, Processing and Generation. NLP can be tested using some tools such as Testigma which can do complex automations easily in their natural language.

Testers create some real time test cases for the given scenarios on the requirement of a particular customer. The NLP techniques are converted into the frames, then processed in the form of Unified Modeling Language (UML). In the name itself, it is there that UML is a modeling language in software engineering which converts the bunch of given diagrams and links between them.


DevOps test automation is nothing but the technology addition that performs several tasks and decreases human presence to get review between the development teams and several options so that it makes some iterative approach to make faster applications in the production. It needs framework automation usage and some tools to make test scripts.

DevOps support continuous development for a product which is made, deployed, tested and released for the end user. DevOps approach improves the operation functions and development within the same cycle. It requires a maximum coordination level among all the stakeholders in developing a software process. To improve the speed and the performance, it uses processes of automation in developing software.

Hyper Automation

Hyper Automation is a simple and a silent approach that industries use to identify randomly in a fast manner and automate the IT processes and businesses if possible. It includes various multiple technologies, platforms and tools involving Machine Learning (ML) and Artificial Intelligence (AI). The best example for Hyper Automation is Optical Character Recognition (OCR) which converts the given picturized data into a plain text format. In simple words, we can say hyper automation made a knot to the AI and RPA to complete any repetitive task which is done by the business users.

Codeless Automation

Codeless Automation testing is the process of making tests of automation without writing a single line of code. It is used to show how much students are capable of and to show their skill levels. Codeless platforms use basic levels of coding which are needed for the test automation. In the manual testing, the time spent on the code will automatically be reduced.

Codeless Automation takes less than 1 hour to execute the task and a little bit of coding skills are required. Maintenance of the given test cases will also be codeless. There will be multiple methods to automate the test cases in a simple language to understand via Natural Language Processing. But basic knowledge on some languages must be known to maintain and edit the given test cases like CSS and HTML. Since, they are easy and take less time to learn and complete the given task.

User Experience Testing and Automation

User Experience is the most important thing in any work. We should concentrate on each and every designer level and also develop software. It is a software which is used to get automation for the given process, exactly when we are working with some participants via remote mode. And it allows the designer team to follow and get the problems at the designing phase itself. This software is used to gather and display the data who hit the aim of the task and struggles to complete it.

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