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Introduction
The landscape of technology is undergoing dramatic transformations, with Artificial Intelligence (AI) leading this monumental evolution. Among the concepts turning heads is Generative AI, especially its pertinence to software testing. Its potential to transform traditional testing approaches couldn’t be more timely, considering our rapidly evolving digital ecosystem.
An extension to the preferred agile model, DevOps’ adoption has been growing faster than ever, gaining tremendous fame in the past few years. Keeping communication and integration as the key, it leverages on collaboration between operations, development and businesses, thus ensuring seamless and efficient deliveries.
The increasing number of organizations leveraging on DevOps to unleash the untapped potential and close barriers amidst their departments to build quicker and robust software and execute a seamless delivery, shows the potential DevOps has.
Code coverage is a metric that measures the amount of code that has been executed during testing. The goal of code coverage is to ensure that all parts of the code have been tested so that any potential bugs or issues can be detected and resolved before the software is released.
One of the critical reasons for software release delays is the time consumed in maintaining the failed test cases and inability of current testing system to self heal the test automation. Test automation is proving ineffective and outdated (Automation is always out of date) due to the time and cost involved in maintaining these failed test cases. As per Webomates’ study, the cost of software test automation is only 20% in the setup phase, and the cost of maintenance of the software test automation is 80% of the overall cost.
Code coverage, also known as test case coverage or code coverage percentage, is a software testing metric that determines the number of lines of code that are successfully validated under a test procedure. It helps in analysing how comprehensively a software is verified. Click to know more about this article : What is Code Coverage In Testing
Webomates provides an end-to-end streaming platform to meet all your Streaming testing needs. When defects are identified at an earlier stage, there is reduced development and issue resolution overhead resulting in faster time-to-market and quality content delivery.
Code coverage is a software measurement and analysis metric that evaluates how comprehensively sources of code have been validated through tests. It identifies failure points where your code can be improved, thus improving the security and reliability of your product.Code coverage criteria
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The use of AI software in testing sometimes involves the application of techniques that themselves need to be tested by professionals familiar with the relevant subject matter. It is thus crucial to ensure that sufficient human expertise is available to adequately test these applications. Click to know more about this article: Challenges in AI
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Selenium Testing automation is the most widely used testing method used across for web based applications. he incessant need for quality assurance and rigorous testing in complex web and mobile applications has resulted in the market selecting Selenium and it has become the most prominent tool in this space.
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