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Bots and AI: The Future of Software Testing and Quality Assurance

13-Aug-2021

Bots and AI: The Future of Software Testing and Quality Assurance

Over the years, the evolution of technology has made the world experience the idea of innovation. Right from the introduction of the world wide web to the first-ever smartphone, technology has always transformed the way we live.   

One such aspect of advanced technology that has redefined the dynamics of the present and future world is the introduction of robotics and artificial intelligence. However, the greater innovation is these technologies making their way into the development process of other technologies, such as improving automation testing services.   

Yes, we are talking about Artificial Intelligence and Robotics. AI bots and artificial intelligence into software testing have not only made things a whole lot easier but have given the cost proficiency, ease of use, and necessary time-productiveness. And therefore, these technologies have managed to make a special space for them when we talk about software testing trends of 2021 and beyond.  

Though it may appear that the idea of Artificial intelligence has just made its way to the world a couple of years back, the very concept of AI and bots has grown rapidly. More importantly, people have adapted to these aspects of technology in a very quick manner making AI and Bots part of the new normal.   

The exemplary potential of AI-powered and machine learning technologies in software testing have made people envision the entire purpose of bots more quickly, redefining the way we interact with QA Software testing services.   

In case you are curious to learn how they can change things for the better, let’s dive and explore.  

The Bots and AI Effect on Software Testing and Development  

  When it comes to the impact of Artificial Intelligence and Bots on software testing service providers in India, some common areas which have been leveraged using these technologies are related to the improvement of test scope, debugging, and continuous testing goals. Let’s explore these in a bit more detail.   

1. Testing Scope & Workloads  

One of the most common challenges that QA software testing services tend to face is the increasing parameters of the test as the project progresses. This usually leads to the extensive buildup of workload on the testing professionals who are already have constrained ability, resources, and time to deliver with efficiency.   

However, the use of AI Bots allows testers to redevelop the existing test cases while adding all the additional parameters that appear during the progress stage. This simply helps to improve the scope and coverage of the testing procedures without burdening the testing teams. Also, these bots can help testers to run parallel tests and customize the efficiency tasks as the project reaches its advanced stages.   

This is why when you start working with the best software testing company, things start to streamline quicker as their testing teams have full access to practices like robotic test automation that has the potential to oversee, examine, and assist the DevOps and QA teams in simplifying the testing procedures.  

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2. A More Efficient Approach To Debugging  

Since AI bots have the potential to run 24/7, they can be used to handle all kinds of debugging tasks as per the requirements. This simply helps to expand the total amount of time for running tests without any human intervention. Moreover, testers could devote their time to more productive tasks while leaving the debugging task to the bots. Besides, the technology enables testers to examine the test outcomes and work on any issues that are reported by the system.   

Furthermore, the developers and testers having coordination with the technologies like automated robot testing to transform the code. Ultimately, such an arrangement helps to get rid of any bugs and drive the full potential of the test procedures with an immediate check on weak spots.  

3. AI-Powered Continuous Testing  

When it comes to the use of artificial intelligence technology in the robotics process, it can be leveraged to advance the continuous testing process, expanding the existing capabilities of the traditional test practices. Consider using robotic process automation to create reports related to deviation and distinguish the data that is polluted.  

Also, the use of artificial intelligence technology in the QA process allows testers to avoid any grunge and aim at improving the quality of test procedures. All in all, when you are trying to focus on continuous testing, using AI technology allows you to find more viable solutions to all your test project requirements.   

As AI-powered bots are built using Machine Learning and Natural Language Processing technologies, they can help streamline all the requirements related to QA and software testing.  

Benefits of AI and Bots in QA Operations  

  There are so many significant reasons and benefits that make the use of AI and Bots in QA operations an essential practice for the software testing service providers dealing with automation testing services. Some of these could be highlighted as:  

  • Added accuracy with zero or no errors, even without human intervention  

  • Development of test codes using automation  

  • Improved project scope and depth of test operations for added quality  

  • Performance of codeless tests  

  • Driving greater potential of the test automation process  

  • Test Execution Automation  

  • Test Result Analysis  

  • Running parallel tests with improving tuning  

  • Efficient debugging   

  • Lower time consumption  

  • Upgrade test quality for more practical test results.  

Robotics, AI, & Software Testing: Stepping Into The Future   

When automating the testing process, the real challenge is all about taking on new highlights and implementing the same into the code. Though the current testing procedures are made to identify any bugs, automation perimeter testing helps to avoid any negative impact on the existing code as well as its outcomes, unless the testers need to make any minor changes due to the changed requirements.  

Nevertheless, the evolution of artificial intelligence could help you meet the product requirements by determining the end-user needs and produce code to run a large number of tests at the same time. Especially when you need to sustain the defined framework for any number of test cases, AI and Bots could help you identify bugs for every circumstance differently.  

Concluding it all, Bots and AI are no longer buzzwords to the software testing industry, rather they have turned to be a vital component of automation testing services. And if you need to seep for any changes in the test procedures for more advanced strategies, AI and Bots are the tools that could help you redefine the entire idea of QA software testing services.  

Though there are extensive possibilities to explore when it comes to automation testing and the use of AI technologies, the reliability and quality offered by the existing tools, techniques, and practices based on AI and robotics have already made us step into the future of software testing.  

If you are looking to drive greater revenue for your next development project by leveraging AI and bots, consider taking your next automation testing project to our team at BugRaptors.   

For more information, feel free to connect with our team of experts.

author

Amit Rajput

Amit works as a Senior Performance Test Engineer and has conducted load/ performance test executions for various mobile, web and client server applications. He has good analytical skills of system performance and behavior.

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