Rise of Artificial Intelligence in Software Testing to Guarantee Security!

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The recently launched or the latest version of the existing product, it is essential for the organizations to ensure that each of its product goes through a stringent quality test to ensure that it meets the standards set.

For what reason do we Need AI in Software Testing?

Software testing is a process that set up a fundamental aspect of the area of improvement. Though, most of the time developers can’t complete a comprehensive testing of an application because of the scarcity of time and assets.

AI testing needs very little maintenance and is capable of determining new paths. Software testing is just the right field for applying AI as testing, whether manual or automated.

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Why Call For Investment In Performance Testing Become So Important?

Manual performance testing ServicesThe goal of performance testing is not to find bugs but to eliminate performance bottlenecks. Performance testing helps in establishing speed, scalability, and stability of the software application. So, designing and executing these tests are critical for ensuring stability of an application. An effective performance testing strategy is essential for highlighting most of the performance issues. It could be associated with the database, network, software, bandwidth, or the hardware.

Why it is critical for enterprises to invest in Performance Testing:
1. It will generate more revenue: The faster the web application is, the more it will generate revenue. For applications such as e-commerce applications have to provide an easy and secure gateway to the customers which results in better transaction and repeated visits on the application.
2. Provide customers with better website speed: A slow and lousy website results in repelling the crowd coming on the site. The automation testing tools enable the teams to check the speed and performance of the website. Users should be able to load the site with basic connectivity and bandwidth that helps in maintaining the interest and keeping them engaged.
3. Improve quality by Resolving defects before getting into market: Performance testing gives customers the information about their application regarding speed, stability and scalability. Performance testing helps in uncovering what needs to be improved before the product goes live. Without performance testing, application is likely to suffer from various issues such as running slow with simultaneous users.

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Why Website Performance Test Is Required?

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You hear a lot about testing web applications; however, you’re yet uncertain, why you should invest additional money in doing this kind of work. How can it increase the value of your work? How might you encourage your customer or manager that it’s a substantial utilization of time and cash?

There are a lot of reasons because of which website performance test is mandatory and a few of them are explained below:

  • Search Engine Optimization and Google

Since April 2010, Google began to take load time into account while ranking websites. Obviously, Google’s calculations utilize various components to decide the ranking of websites in Google search result pages.

  • User Satisfaction

It is realized that users just proceeds onward to some other web page if a site influences them to wait for a long time. Bouncing rate is a vital factor that each website admin should consider.

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Role of Artificial Intelligence in Software Testing

Regression Testing is complex when the interface is reformed. It is possible that many of the current test cases cannot be performed with the new interface. This can bound automation in regression testing and therefore considerably increase the cost of regression testing. That’s where artificial intelligence can be introduced.

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The regression test cases that are affected by the change in structure are automatically regenerated and interface structure is modeled, where possible. It is extremely useful to have knowledge regarding where faults are likely to occur while organizing testing, this can be fed into decisions regarding how much testing effort is consumed on each module. AI (Artificial intelligence) techniques can be used to calculate which modules are likely to be specifically susceptible to faults.

Read More Here at http://www.bugraptors.com/role-artificial-intelligence-software-testing