5 Ways AI Is Changing Software Testing
5 Ways AI Is Changing Software Testing
Testers should prepare to have AI bots work alongside them as the perfect assistants, programmed to lighten their workloads during software development.
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Human software testing has yet to lose its value, but artificial intelligence (AI) is steadily advancing. AI is already touted for its advanced capabilities that may soon eliminate the need for manual testing in software development.
AI is changing the way software is tested and how humans interact with technology. Artificial intelligence will hold the responsibility of advancing the software testing process as humans focus on analyzing how well new applications are received by the public. In addition to releasing humans from mundane testing tasks, here are five ways AI is changing software testing.
1. Software Testing Is Becoming Easier
Because AI algorithms are such powerful analyzation tools, software developers will no longer have to write all the testing scripts and examine large amounts of data. AI will also have the ability to sort through log files to save time and increase accuracy in the program.
The data results generated by AI take the guesswork out of the testing process and give developers a full view of the changes that must be implemented. AI shows developers where testing is needed by locating current flaws in a system. Furthermore, AI algorithms predict future complications, which enhances efficiency during testing periods.
2. AI Automates the Testing Process
Due to time constraints, IT professionals are making the critical mistake of pushing software to market without full testing at every phase, which then annoys users. Budget constraints also prevent IT companies from hiring a team to focus specifically on software testing.
Developers know that the majority of testing involves repetitive steps to analyze each program, and the frequent need for manual testing takes a great deal of time. AI can use specific sets of data provided by developers to analyze software functions and errors. Through AI’s automated testing, 80% of the testing workload can be removed from human testers, eliminating the stress of repetitive tasks and improving coding accuracy.
3. AI Will Encourage Human Creativity
Software developers must be tactical and creative in the world of IT because front-end users base their experience with an application on their ability to easily interact with the app. AI gives software developers the extra time to reflect on how customers think and feel. Coding is of little interest to many app users. Therefore, the developer must see a product through the eyes of the customer.
After spending so much time on the back-end of product development, software testers tend to focus on the technical details. While information technology is based on computer functions and a deep understanding of data, it will always be a consumer-driven industry. Having a deeper level of connection with consumers will grow the popularity of a product, thus empowering the IT company to move forward with more innovative ideas.
Businesses concentrate on the functionality of applications because these programs are created for the benefit of people. When an application is in the development stage, software developers must be mindful of its purpose. Since artificial intelligence automates testing and relieves testers of menial tasks, they can focus on the possible circumstances users may face when interacting with the app.
4. AI Can Eliminate More Bugs
Bugs will quickly ruin the user experience, and software testing is needed to halt such disruptions. When bugs are caught, software testers are left wondering how the bug went undetected and when the bug entered the program.
With the use of artificial intelligence, the questions of how, when, and where bugs entered a system are put to rest. As artificial intelligence tests for bugs, it also can spot small changes and errors needed to improve the code. Testers can use the information generated by AI to determine if more coding modifications will be needed to prevent bugs from entering the program. This increases the likelihood of bugs being caught in the process of development.
AI is constantly testing to clear bugs from programs. Since AI bots don’t have to clock out when a shift is over, they can essentially work around the clock checking and rechecking a program.
5. Testing Capabilities Will Continuously Improve
Various tests are necessary at each stage of software development. For manual testers, it can be challenging to meet the demands associated with each test. Through machine learning, a set of instructions can be created to generate test data. Similarly, after feeding the initial data into an AI machine, various tests can be performed at every stage to ensure the reliability and security of a program.
While AI can analyze the behavior of a program, it remains to be a tool that aids manual testers. Software developers and testers shouldn’t expect to be overtaken by AI. Instead, testers should prepare to have AI bots work alongside them as the perfect assistants, programmed to lighten their workloads during software development.
Published at DZone with permission of Ignacio De Marco . See the original article here.
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