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AI, Evolution And The Future Of Testing

#AI (#artificialintelligence) is the simulation of human intelligence processes by machines, especially computer systems. ... Particular applications of AI include expert systems, speech recognition and machine vision.<br><br>You can also read more at http://www.qatestingtools.com/testing-tool-article/machine_learning_and_its_impact_software_testing

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AI, Evolution And The Future Of Testing

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  1. AI, Evolution And The Future Of Testing

  2. In a typical agile environment software products/services are made in phases such as conceptual phase, early implementation phase, and production phase. It is hence very essential for software testing Services Company to be able to align test efforts with these phases. A small investment in Software Test Strategy allows us to do that. , a Software Test Plan exercise is normally carried out by Software Test Architect or hands-on QA manager, who has overseen releases of various similar software applications. Depending on the current product phase, product complexity, and product size; temporarily, it takes between 2 to 6 weeks to conduct the test plan activity. During test strategy exercise (Test Architect) TA / QA Manager Works closely with product team as well as engineering team and prepares a document that outlines test roadmap for the product.

  3. The Evolution Of Testing Before 2000, testing was mostly reactive in responding to ISSUES or problems after they arose. This posed obvious difficulties in that customers would inevitably reach a point of disapproval with a product or service before it was changed. Although it was a much slower process almost two decades ago. The technological wave that has defined the 21st Century has moved testing to become proactive. Organizations now look to solve problems and produce the highest quality product or service before customers even understand there is a problem.

  4. Advantage has also been seen in testing for high-peaks of interactions, such as the Christmas shopping period and assuring systems are geared towards coping with high demand to avoid the risk of downtime and loss of revenues. Now, we are focused on the next phase, the optimization of testing to produce further efficiencies and help to overcome the barriers that have caused software testing companies in USAto pause for thought in the past.

  5. AI And The Future Of Testing Whenever people discuss the future of civilization, sooner or later common topics such as politics, the world economy, and fashion are left behind in favor of two words that speak volumes to our imaginations, concerns, and worries. Artificial Intelligence! Whatever our idea is, we require accepting the fact that AI techniques will fully dominate IT within the next two decades. The recent “Partnership on AI”, a joint force of world software giants (Amazon, Google, Facebook, IBM, and Microsoft) is just one of the several signs that serve to confirm this.

  6. Let’s define the idea of artificial intelligence itself. We normally split it into two different sections. Firstly, weak AI, emulates single human competencies, such as letter recognition or voice generation. Weak AI covers all of the current applications that we refer to as AI applications.  On the other hand, strong AI refers to systems performing creative activities - directly, without any request - defined by consciousness, feelings or self-awareness. They don’t exist yet but it is highly presumable that they will appear within our lifetime...

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